Overview

Dataset info

Number of variables89
Number of observations55000
Missing cells862480 (17.6%)
Duplicate rows0 (0.0%)
Total size in memory379.6 MiB
Average record size in memory7.1 KiB

Variables types

CAT45
NUM36
URL8

Reproduction info

Date of analysis2020-05-04 12:49:31.392529
Versionpandas-profiling v2.4.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download Configurationconfig.yaml

Warnings

Access has 24948 (45.4%) missing values Missing
Access has a high cardinality: 27974 distinct values Warning
Amenities has a high cardinality: 50263 distinct values Warning
Availability_30 has 19279 (35.1%) zeros Zeros
Availability_365 has 10894 (19.8%) zeros Zeros
Availability_60 has 15957 (29.0%) zeros Zeros
Availability_90 has 14030 (25.5%) zeros Zeros
Bedrooms has 4090 (7.4%) zeros Zeros
Calendar_last_Scraped only contains datetime values, but is categorical. Consider applying pd.to_datetime()Type
Calendar_Updated has a high cardinality: 72 distinct values Warning
City has a high cardinality: 1918 distinct values Warning
Cleaning_Fee has 19748 (35.9%) missing values Missing
Description has a high cardinality: 54670 distinct values Warning
Extra_People has 32494 (59.1%) zeros Zeros
Features has a high cardinality: 119 distinct values Warning
First_Review has 13500 (24.5%) missing values Missing
First_Review has a high cardinality: 2182 distinct values Warning
Geolocation has a high cardinality: 55000 distinct values Warning
Has_Availability has 54043 (98.3%) missing values Missing
Host_About has 21823 (39.7%) missing values Missing
Host_About has a high cardinality: 28594 distinct values Warning
Host_Acceptance_Rate has 50666 (92.1%) missing values Missing
Host_Acceptance_Rate has a high cardinality: 78 distinct values Warning
Host_Location has a high cardinality: 3187 distinct values Warning
Host_Name has a high cardinality: 14827 distinct values Warning
Host_Neighbourhood has 14016 (25.5%) missing values Missing
Host_Neighbourhood has a high cardinality: 2007 distinct values Warning
Host_Response_Rate has 12610 (22.9%) missing values Missing
Host_Response_Rate has 723 (1.3%) zeros Zeros
Host_Response_Time has 12610 (22.9%) missing values Missing
Host_Since has a high cardinality: 2770 distinct values Warning
Host_Verifications has a high cardinality: 542 distinct values Warning
House_Rules has 21668 (39.4%) missing values Missing
House_Rules has a high cardinality: 31242 distinct values Warning
Interaction has 26278 (47.8%) missing values Missing
Interaction has a high cardinality: 26891 distinct values Warning
Jurisdiction_Names has 39423 (71.7%) missing values Missing
Last_Review has 13492 (24.5%) missing values Missing
Last_Review has a high cardinality: 1198 distinct values Warning
Last_Scraped only contains datetime values, but is categorical. Consider applying pd.to_datetime()Type
License has 53367 (97.0%) missing values Missing
License has a high cardinality: 1153 distinct values Warning
Market has 653 (1.2%) missing values Missing
Market has a high cardinality: 77 distinct values Warning
Maximum_Nights is highly skewed (γ1 = 88.62314012) Skewed
Medium_Url has 10592 (19.3%) missing values Missing
Minimum_Nights is highly skewed (γ1 = 160.5059403) Skewed
Monthly_Price has 44359 (80.7%) missing values Missing
Name has a high cardinality: 54535 distinct values Warning
Neighborhood_Overview has 22457 (40.8%) missing values Missing
Neighborhood_Overview has a high cardinality: 31587 distinct values Warning
Neighbourhood has 16867 (30.7%) missing values Missing
Neighbourhood has a high cardinality: 1887 distinct values Warning
Neighbourhood_Cleansed has a high cardinality: 1932 distinct values Warning
Neighbourhood_Group_Cleansed has 43569 (79.2%) missing values Missing
Neighbourhood_Group_Cleansed has a high cardinality: 68 distinct values Warning
Notes has 33022 (60.0%) missing values Missing
Notes has a high cardinality: 20728 distinct values Warning
Number_of_Reviews has 13478 (24.5%) zeros Zeros
Price has 772 (1.4%) missing values Missing
Review_Scores_Accuracy has 14181 (25.8%) missing values Missing
Review_Scores_Checkin has 14227 (25.9%) missing values Missing
Review_Scores_Cleanliness has 14148 (25.7%) missing values Missing
Review_Scores_Communication has 14165 (25.8%) missing values Missing
Review_Scores_Location has 14222 (25.9%) missing values Missing
Review_Scores_Rating has 14076 (25.6%) missing values Missing
Review_Scores_Value has 14234 (25.9%) missing values Missing
Reviews_per_Month has 13500 (24.5%) missing values Missing
Security_Deposit has 31857 (57.9%) missing values Missing
Smart_Location has a high cardinality: 2045 distinct values Warning
Space has 16278 (29.6%) missing values Missing
Space has a high cardinality: 38324 distinct values Warning
Square_Feet has 53583 (97.4%) missing values Missing
State has 5307 (9.6%) missing values Missing
State has a high cardinality: 515 distinct values Warning
Street has a high cardinality: 22001 distinct values Warning
Summary has 1853 (3.4%) missing values Missing
Summary has a high cardinality: 52505 distinct values Warning
Thumbnail_Url has 10592 (19.3%) missing values Missing
Transit has 21214 (38.6%) missing values Missing
Transit has a high cardinality: 32971 distinct values Warning
Weekly_Price has 44072 (80.1%) missing values Missing
XL_Picture_Url has 10592 (19.3%) missing values Missing
Zipcode has 2127 (3.9%) missing values Missing
Zipcode has a high cardinality: 11392 distinct values Warning
Availability_60 is highly correlated with Availability_30 and 1 other fieldsHigh Correlation
Availability_30 is highly correlated with Availability_60High Correlation
Availability_90 is highly correlated with Availability_60High Correlation
Host_Total_Listings_Count is highly correlated with Host_Listings_CountHigh Correlation
Host_Listings_Count is highly correlated with Host_Total_Listings_CountHigh Correlation
Weekly_Price is highly correlated with Monthly_PriceHigh Correlation
Monthly_Price is highly correlated with Weekly_PriceHigh Correlation

Variables

Access
Categorical

MISSING
HIGH CARDINALITY
Distinct count27974
Unique (%)50.9%
Missing24948
Missing (%)45.4%
Memory size859.4 KiB
You have access to the whole house with kitchen, bedroom, bathroom and living room. You do not have to share this apartment with others.
 
94
Guests will have access to the entire property during their stay.
 
61
Everything
 
35
The house and its facilities are totally private. We’ll leave bed linen and bath towels for you (beach towels are not available).
 
33
Entire apartment
 
29
Other values (27968)
29800
ValueCountFrequency (%) 
You have access to the whole house with kitchen, bedroom, bathroom and living room. You do not have to share this apartment with others. 94 0.2%
 
Guests will have access to the entire property during their stay. 61 0.1%
 
Everything 35 0.1%
 
The house and its facilities are totally private. We’ll leave bed linen and bath towels for you (beach towels are not available). 33 0.1%
 
Entire apartment 29 0.1%
 
The whole apartment 23 < 0.1%
 
The whole apartment. 23 < 0.1%
 
Guests will have access to the entire apartment. 23 < 0.1%
 
Travellers will have access to the entire apartment. 20 < 0.1%
 
You will have access to the entire apartment. 19 < 0.1%
 
Other values (27963) 29692 54.0%
 
(Missing) 24948 45.4%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length99.85692727
Min length1
Scatter

Accommodates
Real number (ℝ≥0)

Distinct count17
Unique (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.333775846
Minimum1.0
Maximum16.0
Zeros0
Zeros (%)0.0%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile8
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.115860455
Coefficient of variation (CV)0.634673881
Kurtosis6.325276521
Mean3.333775846
Median Absolute Deviation (MAD)1.589105844
Skewness2.02977688
Sum183321
Variance4.476865464
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2 23438 42.6%
 
4 11369 20.7%
 
3 5121 9.3%
 
1 4594 8.4%
 
6 4118 7.5%
 
5 2775 5.0%
 
8 1396 2.5%
 
7 773 1.4%
 
10 545 1.0%
 
9 273 0.5%
 
Other values (6) 587 1.1%
 
ValueCountFrequency (%) 
1 4594 8.4%
 
2 23438 42.6%
 
3 5121 9.3%
 
4 11369 20.7%
 
5 2775 5.0%
 
ValueCountFrequency (%) 
16 174 0.3%
 
15 28 0.1%
 
14 75 0.1%
 
13 29 0.1%
 
12 221 0.4%
 

Amenities
Categorical

HIGH CARDINALITY
Distinct count50263
Unique (%)91.4%
Missing487
Missing (%)0.9%
Memory size859.4 KiB
translation missing: en.hosting_amenity_49,translation missing: en.hosting_amenity_50
 
86
Family/kid friendly
 
52
Family/kid friendly,translation missing: en.hosting_amenity_50
 
28
Internet,Wireless Internet,Kitchen,Heating,Washer,Essentials
 
27
Internet,Wireless Internet,Kitchen,Heating,Essentials
 
21
Other values (50257)
54299
ValueCountFrequency (%) 
translation missing: en.hosting_amenity_49,translation missing: en.hosting_amenity_50 86 0.2%
 
Family/kid friendly 52 0.1%
 
Family/kid friendly,translation missing: en.hosting_amenity_50 28 0.1%
 
Internet,Wireless Internet,Kitchen,Heating,Washer,Essentials 27 < 0.1%
 
Internet,Wireless Internet,Kitchen,Heating,Essentials 21 < 0.1%
 
TV,Internet,Wireless Internet,Kitchen,Heating,Washer,Essentials 18 < 0.1%
 
Internet,Wireless Internet,Kitchen,Buzzer/wireless intercom,Heating,Washer,Essentials 17 < 0.1%
 
TV,Wireless Internet,Kitchen,Heating,Smoke detector,Carbon monoxide detector,First aid kit,Safety card,Fire extinguisher,Essentials,Hangers,Laptop friendly workspace,translation missing: en.hosting_amenity_49,translation missing: en.hosting_amenity_50 17 < 0.1%
 
TV,Internet,Wireless Internet,Kitchen,Heating,Essentials 16 < 0.1%
 
Internet,Wireless Internet,Kitchen,Heating,Washer 15 < 0.1%
 
Other values (50252) 54216 98.6%
 
(Missing) 487 0.9%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1020
Mean length203.6879818
Min length3
Scatter

Availability_30
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
Distinct count31
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.871618182
Minimum0
Maximum30
Zeros19279
Zeros (%)35.1%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q319
95-th percentile30
Maximum30
Range30
Interquartile range (IQR)19

Descriptive statistics

Standard deviation10.91380911
Coefficient of variation (CV)1.105574477
Kurtosis-0.9868346894
Mean9.871618182
Median Absolute Deviation (MAD)9.525272766
Skewness0.7329518558
Sum542939
Variance119.1112292
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 4.5 7.5 9.5 ... 26.5 27.5 28.5 29.5 30. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 19279 35.1%
 
30 4354 7.9%
 
29 2197 4.0%
 
2 1745 3.2%
 
1 1740 3.2%
 
3 1708 3.1%
 
4 1665 3.0%
 
5 1568 2.9%
 
7 1477 2.7%
 
6 1461 2.7%
 
Other values (21) 17806 32.4%
 
ValueCountFrequency (%) 
0 19279 35.1%
 
1 1740 3.2%
 
2 1745 3.2%
 
3 1708 3.1%
 
4 1665 3.0%
 
ValueCountFrequency (%) 
30 4354 7.9%
 
29 2197 4.0%
 
28 1101 2.0%
 
27 793 1.4%
 
26 574 1.0%
 

Availability_365
Real number (ℝ≥0)

ZEROS
Distinct count366
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.9412909
Minimum0
Maximum365
Zeros10894
Zeros (%)19.8%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q115
median148
Q3313
95-th percentile365
Maximum365
Range365
Interquartile range (IQR)298

Descriptive statistics

Standard deviation140.322461
Coefficient of variation (CV)0.8456150979
Kurtosis-1.605268376
Mean165.9412909
Median Absolute Deviation (MAD)128.8742553
Skewness0.1468870581
Sum9126771
Variance19690.39305
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 4.5 8.5 17.5 ... 361.5 362.5 363.5 364.5 365. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 10894 19.8%
 
365 3075 5.6%
 
364 1125 2.0%
 
363 531 1.0%
 
89 416 0.8%
 
90 382 0.7%
 
362 377 0.7%
 
358 309 0.6%
 
4 264 0.5%
 
361 260 0.5%
 
Other values (356) 37367 67.9%
 
ValueCountFrequency (%) 
0 10894 19.8%
 
1 251 0.5%
 
2 246 0.4%
 
3 250 0.5%
 
4 264 0.5%
 
ValueCountFrequency (%) 
365 3075 5.6%
 
364 1125 2.0%
 
363 531 1.0%
 
362 377 0.7%
 
361 260 0.5%
 

Availability_60
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
Distinct count61
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.81012727
Minimum0
Maximum60
Zeros15957
Zeros (%)29.0%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q343
95-th percentile60
Maximum60
Range60
Interquartile range (IQR)43

Descriptive statistics

Standard deviation22.2690009
Coefficient of variation (CV)0.9762769246
Kurtosis-1.315780734
Mean22.81012727
Median Absolute Deviation (MAD)19.88402011
Skewness0.466794878
Sum1254557
Variance495.9084012
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 7.5 14.5 ... 56.5 57.5 58.5 59.5 60. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 15957 29.0%
 
60 4003 7.3%
 
59 1974 3.6%
 
58 942 1.7%
 
1 898 1.6%
 
5 832 1.5%
 
2 800 1.5%
 
3 786 1.4%
 
4 774 1.4%
 
7 763 1.4%
 
Other values (51) 27271 49.6%
 
ValueCountFrequency (%) 
0 15957 29.0%
 
1 898 1.6%
 
2 800 1.5%
 
3 786 1.4%
 
4 774 1.4%
 
ValueCountFrequency (%) 
60 4003 7.3%
 
59 1974 3.6%
 
58 942 1.7%
 
57 683 1.2%
 
56 437 0.8%
 

Availability_90
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
Distinct count91
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.69498182
Minimum0
Maximum90
Zeros14030
Zeros (%)25.5%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q370
95-th percentile90
Maximum90
Range90
Interquartile range (IQR)70

Descriptive statistics

Standard deviation33.70860513
Coefficient of variation (CV)0.8942464886
Kurtosis-1.463907526
Mean37.69498182
Median Absolute Deviation (MAD)30.37419397
Skewness0.2763729271
Sum2073224
Variance1136.27006
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 6.5 17.5 ... 86.5 87.5 88.5 89.5 90. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 14030 25.5%
 
90 3805 6.9%
 
89 1884 3.4%
 
88 873 1.6%
 
83 663 1.2%
 
87 645 1.2%
 
1 639 1.2%
 
3 545 1.0%
 
2 518 0.9%
 
4 516 0.9%
 
Other values (81) 30882 56.1%
 
ValueCountFrequency (%) 
0 14030 25.5%
 
1 639 1.2%
 
2 518 0.9%
 
3 545 1.0%
 
4 516 0.9%
 
ValueCountFrequency (%) 
90 3805 6.9%
 
89 1884 3.4%
 
88 873 1.6%
 
87 645 1.2%
 
86 406 0.7%
 

Bathrooms
Real number (ℝ≥0)

Distinct count18
Unique (%)< 0.1%
Missing171
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.252484999
Minimum0.0
Maximum8.0
Zeros149
Zeros (%)0.3%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2.5
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6109034269
Coefficient of variation (CV)0.4877530888
Kurtosis22.07270917
Mean1.252484999
Median Absolute Deviation (MAD)0.4027395975
Skewness3.704776862
Sum68672.5
Variance0.373202997
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 42054 76.5%
 
2 6469 11.8%
 
1.5 3100 5.6%
 
2.5 981 1.8%
 
3 980 1.8%
 
0.5 314 0.6%
 
4 262 0.5%
 
3.5 237 0.4%
 
0 149 0.3%
 
5 74 0.1%
 
Other values (7) 209 0.4%
 
(Missing) 171 0.3%
 
ValueCountFrequency (%) 
0 149 0.3%
 
0.5 314 0.6%
 
1 42054 76.5%
 
1.5 3100 5.6%
 
2 6469 11.8%
 
ValueCountFrequency (%) 
8 28 0.1%
 
7.5 9 < 0.1%
 
7 19 < 0.1%
 
6.5 15 < 0.1%
 
6 41 0.1%
 

Bed_Type
Categorical

Distinct count5
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size859.4 KiB
Real Bed
53182
Pull-out Sofa
 
1069
Futon
 
379
Couch
 
232
Airbed
 
138
ValueCountFrequency (%) 
Real Bed 53182 96.7%
 
Pull-out Sofa 1069 1.9%
 
Futon 379 0.7%
 
Couch 232 0.4%
 
Airbed 138 0.3%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length13
Mean length8.058836364
Min length5
Scatter

Bedrooms
Real number (ℝ≥0)

ZEROS
Distinct count12
Unique (%)< 0.1%
Missing63
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.387498407
Minimum0.0
Maximum10.0
Zeros4090
Zeros (%)7.4%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9414075902
Coefficient of variation (CV)0.6784927357
Kurtosis6.681782814
Mean1.387498407
Median Absolute Deviation (MAD)0.6939080571
Skewness1.92690813
Sum76225
Variance0.8862482508
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 34544 62.8%
 
2 10265 18.7%
 
0 4090 7.4%
 
3 3987 7.2%
 
4 1420 2.6%
 
5 423 0.8%
 
6 140 0.3%
 
7 28 0.1%
 
8 17 < 0.1%
 
10 16 < 0.1%
 
(Missing) 63 0.1%
 
ValueCountFrequency (%) 
0 4090 7.4%
 
1 34544 62.8%
 
2 10265 18.7%
 
3 3987 7.2%
 
4 1420 2.6%
 
ValueCountFrequency (%) 
10 16 < 0.1%
 
9 7 < 0.1%
 
8 17 < 0.1%
 
7 28 0.1%
 
6 140 0.3%
 

Beds
Real number (ℝ≥0)

Distinct count18
Unique (%)< 0.1%
Missing104
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1.95422253
Minimum0.0
Maximum16.0
Zeros1
Zeros (%)< 0.1%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.520949802
Coefficient of variation (CV)0.7782889505
Kurtosis14.4268713
Mean1.95422253
Median Absolute Deviation (MAD)1.013428547
Skewness2.980241805
Sum107279
Variance2.3132883
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 29149 53.0%
 
2 13641 24.8%
 
3 5606 10.2%
 
4 3214 5.8%
 
5 1386 2.5%
 
6 912 1.7%
 
7 346 0.6%
 
8 259 0.5%
 
10 116 0.2%
 
9 104 0.2%
 
Other values (7) 163 0.3%
 
(Missing) 104 0.2%
 
ValueCountFrequency (%) 
0 1 < 0.1%
 
1 29149 53.0%
 
2 13641 24.8%
 
3 5606 10.2%
 
4 3214 5.8%
 
ValueCountFrequency (%) 
16 51 0.1%
 
15 3 < 0.1%
 
14 21 < 0.1%
 
13 12 < 0.1%
 
12 46 0.1%
 

Calculated_host_listings_count
Real number (ℝ≥0)

Distinct count113
Unique (%)0.2%
Missing100
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean6.541202186
Minimum1.0
Maximum752.0
Zeros0
Zeros (%)0.0%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile21
Maximum752
Range751
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.87201944
Coefficient of variation (CV)5.94264148
Kurtosis303.2284682
Mean6.541202186
Median Absolute Deviation (MAD)8.819501695
Skewness16.60430346
Sum359112
Variance1511.033895
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 34393 62.5%
 
2 7443 13.5%
 
3 3145 5.7%
 
4 1749 3.2%
 
5 1098 2.0%
 
6 818 1.5%
 
7 563 1.0%
 
8 482 0.9%
 
9 409 0.7%
 
10 313 0.6%
 
Other values (102) 4487 8.2%
 
ValueCountFrequency (%) 
1 34393 62.5%
 
2 7443 13.5%
 
3 3145 5.7%
 
4 1749 3.2%
 
5 1098 2.0%
 
ValueCountFrequency (%) 
752 72 0.1%
 
711 65 0.1%
 
224 24 < 0.1%
 
212 1 < 0.1%
 
193 15 < 0.1%
 

Calendar_last_Scraped
Categorical

TYPE DATE
Distinct count49
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size859.4 KiB
2017-05-03
 
4855
2017-04-02
 
4073
2017-05-09
 
4017
2017-04-05
 
3768
2017-04-08
 
3600
Other values (44)
34687
ValueCountFrequency (%) 
2017-05-03 4855 8.8%
 
2017-04-02 4073 7.4%
 
2017-05-09 4017 7.3%
 
2017-04-05 3768 6.9%
 
2017-04-08 3600 6.5%
 
2017-03-04 3512 6.4%
 
2017-05-08 3145 5.7%
 
2017-04-03 2864 5.2%
 
2017-04-04 2408 4.4%
 
2017-03-05 2268 4.1%
 
Other values (39) 20490 37.3%
 

Composition

Contains charsFalse
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length10
Mean length10
Min length10
Scatter

Calendar_Updated
Categorical

HIGH CARDINALITY
Distinct count72
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.3 MiB
today
10446
a week ago
 
4394
2 weeks ago
 
4292
yesterday
 
3497
3 weeks ago
 
2682
Other values (67)
29689
ValueCountFrequency (%) 
today 10446 19.0%
 
a week ago 4394 8.0%
 
2 weeks ago 4292 7.8%
 
yesterday 3497 6.4%
 
3 weeks ago 2682 4.9%
 
2 months ago 2488 4.5%
 
3 days ago 2233 4.1%
 
3 months ago 1950 3.5%
 
4 weeks ago 1912 3.5%
 
4 days ago 1848 3.4%
 
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flexible 17207 31.3%
 
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flexible_new 1007 1.8%
 
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Paris
 
5800
London
 
5115
Barcelona
 
3119
Amsterdam
 
3060
Los Angeles
 
2096
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London 5115 9.3%
 
Barcelona 3119 5.7%
 
Amsterdam 3060 5.6%
 
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New York 2083 3.8%
 
Roma 1940 3.5%
 
Austin 1846 3.4%
 
Berlin 1748 3.2%
 
Brooklyn 1490 2.7%
 
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100 1593 2.9%
 
60 1457 2.6%
 
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Spain
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France
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Australia
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ValueCountFrequency (%) 
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United Kingdom 6518 11.9%
 
Spain 6133 11.2%
 
France 6015 10.9%
 
Australia 4418 8.0%
 
Italy 3403 6.2%
 
Canada 3252 5.9%
 
Netherlands 3128 5.7%
 
Germany 1766 3.2%
 
Denmark 1585 2.9%
 
Other values (8) 4105 7.5%
 

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GB
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ES
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FR
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AU
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GB 6518 11.9%
 
ES 6133 11.2%
 
FR 6015 10.9%
 
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IT 3403 6.2%
 
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DE 1766 3.2%
 
DK 1585 2.9%
 
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My place is good for couples, solo adventurers, and business travellers.
 
13
**brand new** Sleeping up to 2 guests in luxury surroundings, this fantastic holiday home makes the perfect choice for your stay in Amsterdam! This gorgeous apartment is excellently designed with your comfort in mind. A warm inviting living space features chic wooden flooring throughout and deliciously contemporary furniture. An elegant dining table and chairs enable you to make mealtimes comfortable and it’s of course the perfect time to plan tomorrow’s adventures in town together. Prepare favourite recipes from home or why not try a little Dutch cooking with local spices from the nearby convenience stores and supermarkets. The fantastic fitted kitchen is packed with all the equipment you need to create something delicious. The pretty bedroom is stylishly presented and features unfussy earth tones to encourage restful sleep and there is ample storage for your belongings. The apartment also features a private bathroom fitted with a sink, shower and toilet. You will get access to the
 
12
My place is good for couples, solo adventurers, and business travelers.
 
11
Mon logement est parfait pour les couples, les voyageurs en solo et les voyageurs d'affaires.
 
10
**brand new** Sleeping up to 2 guests in luxury surroundings, this fantastic holiday home makes the perfect choice for your stay in Amsterdam! This gorgeous apartment is excellently designed with your comfort in mind. A warm inviting living space features chic wooden flooring throughout and deliciously contemporary furniture. An elegant dining table and chairs enable you to make mealtimes comfortable and it’s of course the perfect time to plan tomorrow’s adventures in town together. Prepare favourite recipes from home or why not try a little Dutch cooking with local spices from the nearby convenience stores and supermarkets. The fantastic fitted kitchen is packed with all the equipment you need to create something delicious. The pretty bedroom is stylishly presented and features unfussy earth tones to encourage restful sleep and there is ample storage for your belongings. The apartment also features a private bathroom fitted with a sink, shower and toilet. You will access to the enti
 
8
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54922
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My place is good for couples, solo adventurers, and business travellers. 13 < 0.1%
 
**brand new** Sleeping up to 2 guests in luxury surroundings, this fantastic holiday home makes the perfect choice for your stay in Amsterdam! This gorgeous apartment is excellently designed with your comfort in mind. A warm inviting living space features chic wooden flooring throughout and deliciously contemporary furniture. An elegant dining table and chairs enable you to make mealtimes comfortable and it’s of course the perfect time to plan tomorrow’s adventures in town together. Prepare favourite recipes from home or why not try a little Dutch cooking with local spices from the nearby convenience stores and supermarkets. The fantastic fitted kitchen is packed with all the equipment you need to create something delicious. The pretty bedroom is stylishly presented and features unfussy earth tones to encourage restful sleep and there is ample storage for your belongings. The apartment also features a private bathroom fitted with a sink, shower and toilet. You will get access to the 12 < 0.1%
 
My place is good for couples, solo adventurers, and business travelers. 11 < 0.1%
 
Mon logement est parfait pour les couples, les voyageurs en solo et les voyageurs d'affaires. 10 < 0.1%
 
**brand new** Sleeping up to 2 guests in luxury surroundings, this fantastic holiday home makes the perfect choice for your stay in Amsterdam! This gorgeous apartment is excellently designed with your comfort in mind. A warm inviting living space features chic wooden flooring throughout and deliciously contemporary furniture. An elegant dining table and chairs enable you to make mealtimes comfortable and it’s of course the perfect time to plan tomorrow’s adventures in town together. Prepare favourite recipes from home or why not try a little Dutch cooking with local spices from the nearby convenience stores and supermarkets. The fantastic fitted kitchen is packed with all the equipment you need to create something delicious. The pretty bedroom is stylishly presented and features unfussy earth tones to encourage restful sleep and there is ample storage for your belongings. The apartment also features a private bathroom fitted with a sink, shower and toilet. You will access to the enti 8 < 0.1%
 
My place is good for couples, solo adventurers, business travellers, and families (with kids). 7 < 0.1%
 
My place is good for solo adventurers. 7 < 0.1%
 
My place is good for couples, solo adventurers, business travelers, families (with kids), and big groups. 6 < 0.1%
 
My place is good for couples, solo adventurers, business travelers, and families (with kids). 5 < 0.1%
 
Mi alojamiento es bueno para parejas, aventureros, y viajeros de negocios. 5 < 0.1%
 
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(Missing) 24 < 0.1%
 

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20 3497 6.4%
 
15 3342 6.1%
 
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30 1285 2.3%
 
5 948 1.7%
 
40 525 1.0%
 
35 514 0.9%
 
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4 28 0.1%
 
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6 103 0.2%
 
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680 1 < 0.1%
 
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Host Has Profile Pic,Host Identity Verified,Is Location Exact,Requires License 1471 2.7%
 
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256
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187
2016-01-02
 
185
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0 187 0.3%
 
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7 86 0.2%
 
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.
 
100
My name is Angela and I’m working for Villafinca, a company managing reservation services in order to give property owners the chance to rent their property. Thanks to Villafinca, lots of private property owners are able to offer a good service to their clients who rent their properties, which would not be possible without us as many owners lack the necessary know-how and/or do not speak many languages. How can I describe best my team? Well, we are dynamic and active, we speak 5 languages and do our best to manage your renting so you have a satisfactory stay. Besides, I would like to tell you that we visit and check all of our properties on our own. Furthermore, we are there for you in situ and are happy to assist you with all doubts you may have. Hola soy Angela y trabajo para Villafinca, donde nos dedicamos a gestionar el servicio de reservas para los pequeños propietarios que quieren alquilar sus casas y no pueden encargarse de realizar este trabajo! Muchas veces por falta de tiempo o desconocimiento de idiomas. Gracias a Villafinca, muchos pequeños propietarios pueden dar un buen servicio a los huéspedes que quieren alquilar sus propiedades. ¿Cómo puedo describir de mejora manera nuestro equipo? Pues somos gente dinámica y activa, hablamos 5 idiomas y nos dedicamos a gestionar su alquiler para que su estancia sea totalmente satisfactoria. Es muy importante señalar que visitamos y revisamos todas las propiedades a las que realizamos alquileres. Además le atenderemos en destino para cualquier duda que pueda surgir.
 
72
Greetings from London! My name is Tom and along with my team I manage this collection of hand-picked apartments and houses for their individual owners while they are away. Each property is carefully selected and offers a stylish living experience and excellent value. As a lifelong Londoner I love having the opportunity to share these spaces, my knowledge and personal recommendations about this great city with those visiting for both short and long term stays. All our guests will be greeted personally at the property by a member of our hospitality team, and guest assistance is also provided by our professional customer service team between 8am - 8pm 7 days a week, should any issues arise during your stay. Please note that once a booking is made, the customer service team will be the point of contact thereafter. Please be aware that viewings are not possible for stays of less than 1 month. If you have any questions please do not hesitate to contact me and I will be sure to answer them promptly.
 
65
Iamb&b is taking care of my apartment while I am gone!
 
43
...
 
37
Other values (28588)
32860
ValueCountFrequency (%) 
. 100 0.2%
 
My name is Angela and I’m working for Villafinca, a company managing reservation services in order to give property owners the chance to rent their property. Thanks to Villafinca, lots of private property owners are able to offer a good service to their clients who rent their properties, which would not be possible without us as many owners lack the necessary know-how and/or do not speak many languages. How can I describe best my team? Well, we are dynamic and active, we speak 5 languages and do our best to manage your renting so you have a satisfactory stay. Besides, I would like to tell you that we visit and check all of our properties on our own. Furthermore, we are there for you in situ and are happy to assist you with all doubts you may have. Hola soy Angela y trabajo para Villafinca, donde nos dedicamos a gestionar el servicio de reservas para los pequeños propietarios que quieren alquilar sus casas y no pueden encargarse de realizar este trabajo! Muchas veces por falta de tiempo o desconocimiento de idiomas. Gracias a Villafinca, muchos pequeños propietarios pueden dar un buen servicio a los huéspedes que quieren alquilar sus propiedades. ¿Cómo puedo describir de mejora manera nuestro equipo? Pues somos gente dinámica y activa, hablamos 5 idiomas y nos dedicamos a gestionar su alquiler para que su estancia sea totalmente satisfactoria. Es muy importante señalar que visitamos y revisamos todas las propiedades a las que realizamos alquileres. Además le atenderemos en destino para cualquier duda que pueda surgir. 72 0.1%
 
Greetings from London! My name is Tom and along with my team I manage this collection of hand-picked apartments and houses for their individual owners while they are away. Each property is carefully selected and offers a stylish living experience and excellent value. As a lifelong Londoner I love having the opportunity to share these spaces, my knowledge and personal recommendations about this great city with those visiting for both short and long term stays. All our guests will be greeted personally at the property by a member of our hospitality team, and guest assistance is also provided by our professional customer service team between 8am - 8pm 7 days a week, should any issues arise during your stay. Please note that once a booking is made, the customer service team will be the point of contact thereafter. Please be aware that viewings are not possible for stays of less than 1 month. If you have any questions please do not hesitate to contact me and I will be sure to answer them promptly. 65 0.1%
 
Iamb&b is taking care of my apartment while I am gone! 43 0.1%
 
... 37 0.1%
 
Dear Guest! I am Tillan from BNBSTARTUP Amsterdam, the number one management company for shortstay and B&B on Airbnb. We are so happy to welcome you to one of the properties we manage and look forward to offering you the highest service, always aiming for 100% satisfaction for both the guest and home owner. Feel free to contact me with any questions! Kind regards, Tillan BNBSTARTUP 24 < 0.1%
 
Top Villas Mallorca, hat sich in langjähriger Erfahrung darauf spezialisiert, das richtige Feriendomizil für Sie auszusuchen. Über 300 Fincas, Ferienhäuser und Apartments sorgen für eine reichhaltige Auswahl! Diese vermitteln wir von privat an privat. Die angebotenen Häuser und Apartments sind auf der ganzen Insel verteilt - mehrheitlich sind sie im schönen Norden von Mallorca zu finden. Ob in Küstennähe oder im Landesinneren, ob eine kleine, romantische Finca oder ein großes prachtvolles Herrenhaus, traditionell-rustikal oder modern und exklusiv ausgestattet - für alle Kundenwünsche haben und finden wir die passende Finca. Wir führen ausschließlich die von uns begutachteten Ferienunterkünfte, damit Ihr Urlaub auf Mallorca eine echte Erholung wird. Unser erfahrenes Team betreut und vermittelt seit Jahren nur Unterkünfte mit höchsten Qualitätsansprüche in der Ausstattung, Funktionalität und Sauberkeit. Durch den direkten Kontakt zu den Hauseigentümern können wir jederzeit auf besondere Wünsche eingehen. Profitieren Sie von unserer zuverlässigen, ehrlichen und schnellen Betreuung von der Buchung bis zur Anreise. Und, wir sind für Sie immer erreichbar - 7 Tage die Woche, dadurch können wir bei Bedarf auch rasch vor Ort handeln. Gerne begrüsst Sie unser deutschsprachiges Team im Büro und bietet Ihnen Betreuung auch während Ihrer Urlaubstage an, damit die schönsten Tage des Jahres für Sie unvergesslich bleiben. Wir freuen uns auf Sie! 24 < 0.1%
 
Be Mate offers the exclusive City Mate service, a local concierge that will welcome you to the apartment and will assist you before, during and after your stay with everything you may need. From the variety of services you can choose from to live the perfect stay -tranfers, restaurant reservations, tickets for you favourite shows...-, your City Mate will be there for you, even filling up the fridge! You will love our professional and personal attention from the very beginning. You will have to worry only about enjoying your trip and to live the full Be Mate experience! Be Mate, te recibe en sus apartamentos con un conserje local o "City Mate", que te dará la bienvenida y te guiará durante toda tu estancia para ayudarte en todo lo que puedas necesitar. Te ofrece una amplia variedad de servicios para una estancia perfecta, los traslados al aeropuerto o a cualquier otro punto de la ciudad, la reserva de un restaurante, sacará las entradas para tu espectáculo favorito o incluso llenará tu nevera vacía antes de llegar al apartamento. Desde el momento de tu llegada, te encantará nuestra atención personal y profesional. No tendrás que preocuparte de nada más que de disfrutar de tu viaje y de vivir por completo la "Experiencia Be Mate". 22 < 0.1%
 
ABOUT US: SeamlessTransition is a full-service relocation agency. SeamlessTransition offers short-term housing options to executives, medical professionals and leisure travelers looking to secure transitional housing in major cities throughout the United States. We match an individual's or family's short-term housing needs and preferences with available and compatible housing inventory. Our goal is to find the best short-term accommodations at the best price in the best location to meet your housing needs and preferences. No request is too large or too small. It is our pleasure to serve you. We are available Monday through Friday, 8:30 AM to 5:00 PM (EST). Our Reservation Center closes at 3PM on Friday and will not reopen until Monday morning at 9AM. We observe all US Federal Holidays. Kindly excuse our delay in response. 21 < 0.1%
 
I am delighted to be a part of a highly professional London based short term letting team. We manage over a hundred properties in various locations in London, concentrating on North West and Central areas of London. We developed our first website in 2005 and grew it into one of the first internet agencies in London, providing competitive service for affordable price. Our goal is to provide you with memorable stay in London so you can really taste how it feels to be a Londoner. 19 < 0.1%
 
Other values (28583) 32750 59.5%
 
(Missing) 21823 39.7%
 

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Min length1
Scatter

Host_Acceptance_Rate
Categorical

MISSING
HIGH CARDINALITY
Distinct count78
Unique (%)0.1%
Missing50666
Missing (%)92.1%
Memory size3.3 MiB
100%
2408
0%
 
95
50%
 
92
67%
 
91
96%
 
88
Other values (72)
1560
ValueCountFrequency (%) 
100% 2408 4.4%
 
0% 95 0.2%
 
50% 92 0.2%
 
67% 91 0.2%
 
96% 88 0.2%
 
99% 77 0.1%
 
94% 75 0.1%
 
86% 74 0.1%
 
92% 74 0.1%
 
75% 73 0.1%
 
Other values (67) 1187 2.2%
 
(Missing) 50666 92.1%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length4
Mean length3.042054545
Min length2
Scatter

Host_ID
Real number (ℝ≥0)

Distinct count49743
Unique (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32225203.1
Minimum678
Maximum134820813
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum678
5-th percentile1103565.45
Q16808379.5
median21702318
Q348013451
95-th percentile103185044.1
Maximum134820813
Range134820135
Interquartile range (IQR)41205071.5

Descriptive statistics

Standard deviation31686890.09
Coefficient of variation (CV)0.9832952798
Kurtosis0.4933694514
Mean32225203.1
Median Absolute Deviation (MAD)25420765.42
Skewness1.168397556
Sum1.77238617e+12
Variance1.004059004e+15
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[6.78000000e+02 1.10675000e+04 2.47345000e+04 2.60240000e+04 1.00706000e+05 ... 1.17748184e+08 1.17752902e+08 1.23468793e+08 1.29021162e+08 1.34820813e+08], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
3625030 72 0.1%
 
33889201 65 0.1%
 
12243051 31 0.1%
 
43337979 24 < 0.1%
 
48703385 24 < 0.1%
 
31148752 22 < 0.1%
 
54310958 22 < 0.1%
 
25188 21 < 0.1%
 
102947901 20 < 0.1%
 
1914283 19 < 0.1%
 
Other values (49733) 54680 99.4%
 
ValueCountFrequency (%) 
678 1 < 0.1%
 
933 1 < 0.1%
 
990 1 < 0.1%
 
1801 1 < 0.1%
 
1944 1 < 0.1%
 
ValueCountFrequency (%) 
134820813 1 < 0.1%
 
134536813 1 < 0.1%
 
134484320 1 < 0.1%
 
134114356 1 < 0.1%
 
133935903 1 < 0.1%
 

Host_Listings_Count
Real number (ℝ≥0)

HIGH CORRELATION
Distinct count187
Unique (%)0.3%
Missing52
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean9.110886656
Minimum0.0
Maximum959.0
Zeros50
Zeros (%)0.1%
Memory size859.4 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile27
Maximum959
Range959
Interquartile range (IQR)2

Descriptive statistics

Standard deviation53.17399903
Coefficient of variation (CV)5.836314404
Kurtosis206.0390611
Mean9.110886656
Median Absolute Deviation (MAD)13.10922315
Skewness13.4759821
Sum500625
Variance2827.474173
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 32220 58.6%
 
2 8160 14.8%
 
3 3441 6.3%
 
4 1887 3.4%
 
5 1240 2.3%
 
6 865 1.6%
 
7 597 1.1%
 
8 523 1.0%
 
9 435 0.8%
 
10 370 0.7%
 
Other values (176) 5210 9.5%
 
ValueCountFrequency (%) 
0 50 0.1%
 
1 32220 58.6%
 
2 8160 14.8%
 
3 3441 6.3%
 
4 1887 3.4%
 
ValueCountFrequency (%) 
959 72 0.1%
 
879 8 < 0.1%
 
856 1 < 0.1%
 
855 1 < 0.1%
 
839 1 < 0.1%
 

Host_Location
Categorical

HIGH CARDINALITY
Distinct count3187
Unique (%)5.8%
Missing257
Missing (%)0.5%
Memory size3.3 MiB
Paris, Île-de-France, France
 
4759
New York, New York, United States
 
3402
London, England, United Kingdom
 
2456
Rome, Lazio, Italy
 
2103
Barcelona, Catalonia, Spain
 
2076
Other values (3181)
39947
ValueCountFrequency (%) 
Paris, Île-de-France, France 4759 8.7%
 
New York, New York, United States 3402 6.2%
 
London, England, United Kingdom 2456 4.5%
 
Rome, Lazio, Italy 2103 3.8%
 
Barcelona, Catalonia, Spain 2076 3.8%
 
Los Angeles, California, United States 2037 3.7%
 
US 1722 3.1%
 
Austin, Texas, United States 1511 2.7%
 
Amsterdam, North Holland, Netherlands 1471 2.7%
 
Berlin, Berlin, Germany 1397 2.5%
 
Other values (3176) 31809 57.8%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length255
Mean length26.43594545
Min length2
Scatter

Host_Name
Categorical

HIGH CARDINALITY
Distinct count14827
Unique (%)27.0%
Missing52
Missing (%)0.1%
Memory size3.3 MiB
David
 
340
Sarah
 
263
Michael
 
260
Laura
 
258
Maria
 
249
Other values (14821)
53578
ValueCountFrequency (%) 
David 340 0.6%
 
Sarah 263 0.5%
 
Michael 260 0.5%
 
Laura 258 0.5%
 
Maria 249 0.5%
 
Anna 230 0.4%
 
Alex 216 0.4%
 
Daniel 197 0.4%
 
Andrea 195 0.4%
 
Paul 178 0.3%
 
Other values (14816) 52562 95.6%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length40
Mean length6.598490909
Min length1
Scatter

Host_Neighbourhood
Categorical

MISSING
HIGH CARDINALITY
Distinct count2007
Unique (%)3.6%
Missing14016
Missing (%)25.5%
Memory size3.3 MiB
Oud-West
 
462
Montmartre
 
375
Williamsburg
 
344
République
 
299
Buttes-Chaumont - Belleville
 
281
Other values (2001)
39223
ValueCountFrequency (%) 
Oud-West 462 0.8%
 
Montmartre 375 0.7%
 
Williamsburg 344 0.6%
 
République 299 0.5%
 
Buttes-Chaumont - Belleville 281 0.5%
 
Nørrebro 268 0.5%
 
Prati 266 0.5%
 
Central Business District 254 0.5%
 
Hollywood 250 0.5%
 
XI Arrondissement 242 0.4%
 
Other values (1996) 37943 69.0%
 
(Missing) 14016 25.5%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length255
Mean length9.759272727
Min length3
Scatter
Distinct count49538
Unique (%)90.1%
Missing52
Missing (%)0.1%
Memory size3.3 MiB
https://a0.muscache.com/defaults/user_pic-225x225.png?v=2
 
89
https://a0.muscache.com/defaults/user_pic-225x225.png?v=3
 
86
https://a0.muscache.com/im/pictures/3fae278a-f22a-4b8f-829c-c8f8b184cca0.jpg?aki_policy=profile_x_medium
 
72
https://a0.muscache.com/im/users/33889201/profile_pic/1434447500/original.jpg?aki_policy=profile_x_medium
 
65
https://a0.muscache.com/im/pictures/0153828e-38b7-4ca0-8518-9b675bcceef7.jpg?aki_policy=profile_x_medium
 
24
Other values (49532)
54612
(Missing)
 
52
ValueCountFrequency (%) 
https://a0.muscache.com/defaults/user_pic-225x225.png?v=2 89 0.2%
 
https://a0.muscache.com/defaults/user_pic-225x225.png?v=3 86 0.2%
 
https://a0.muscache.com/im/pictures/3fae278a-f22a-4b8f-829c-c8f8b184cca0.jpg?aki_policy=profile_x_medium 72 0.1%
 
https://a0.muscache.com/im/users/33889201/profile_pic/1434447500/original.jpg?aki_policy=profile_x_medium 65 0.1%
 
https://a0.muscache.com/im/pictures/0153828e-38b7-4ca0-8518-9b675bcceef7.jpg?aki_policy=profile_x_medium 24 < 0.1%
 
https://a0.muscache.com/im/pictures/ca805bb8-e714-45c0-b5c5-ea6a3b272fa9.jpg?aki_policy=profile_x_medium 24 < 0.1%
 
https://a0.muscache.com/im/pictures/8f3ec0f2-16eb-45bf-b714-aad8c7b8dd71.jpg?aki_policy=profile_x_medium 22 < 0.1%
 
https://a0.muscache.com/im/pictures/c071e13e-5719-4a57-af6e-489d46a29a5f.jpg?aki_policy=profile_x_medium 20 < 0.1%
 
https://a0.muscache.com/im/pictures/d161f317-ca83-4630-9624-e36c62001988.jpg?aki_policy=profile_x_medium 19 < 0.1%
 
https://a0.muscache.com/im/pictures/0182cee4-4dbd-48e5-8cf3-ddf42c331577.jpg?aki_policy=profile_x_medium 18 < 0.1%
 
Other values (49527) 54509 99.1%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
https 54948 99.9%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
a0.muscache.com 50631 92.1%
 
a2.muscache.com 3135 5.7%
 
a1.muscache.com 1182 2.1%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
/defaults/user_pic-225x225.png 190 0.3%
 
/im/pictures/3fae278a-f22a-4b8f-829c-c8f8b184cca0.jpg 72 0.1%
 
/im/users/33889201/profile_pic/1434447500/original.jpg 65 0.1%
 
/im/pictures/0153828e-38b7-4ca0-8518-9b675bcceef7.jpg 24 < 0.1%
 
/im/pictures/ca805bb8-e714-45c0-b5c5-ea6a3b272fa9.jpg 24 < 0.1%
 
/im/pictures/8f3ec0f2-16eb-45bf-b714-aad8c7b8dd71.jpg 22 < 0.1%
 
/im/users/25188/profile_pic/1265272246/original.jpg 21 < 0.1%
 
/im/pictures/a9016bc9-8db1-4704-9ddd-a7fabc183362.jpg 20 < 0.1%
 
/im/pictures/c071e13e-5719-4a57-af6e-489d46a29a5f.jpg 20 < 0.1%
 
/im/pictures/d161f317-ca83-4630-9624-e36c62001988.jpg 19 < 0.1%
 
Other values (49510) 54471 99.0%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
aki_policy=profile_x_medium 54084 98.3%
 
interpolation=lanczos-none&crop=w:w;*,*&crop=h:h;*,*&resize=225:*&output-format=jpg&output-quality=70 674 1.2%
 
v=2 104 0.2%
 
v=3 86 0.2%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
54948 99.9%
 
(Missing) 52 0.1%
 

Host_Response_Rate
Real number (ℝ≥0)

MISSING
ZEROS
Distinct count91
Unique (%)0.2%
Missing12610
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean93.59072895
Minimum0.0
Maximum100.0
Zeros723
Zeros (%)1.3%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile60
Q198
median100
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)2

Descriptive statistics

Standard deviation17.2676328
Coefficient of variation (CV)0.1845015312
Kurtosis15.21161764
Mean93.59072895
Median Absolute Deviation (MAD)9.824440227
Skewness-3.763985792
Sum3967311
Variance298.1711424
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
100 30958 56.3%
 
90 1555 2.8%
 
99 825 1.5%
 
80 823 1.5%
 
0 723 1.3%
 
50 591 1.1%
 
98 489 0.9%
 
97 459 0.8%
 
96 406 0.7%
 
94 384 0.7%
 
Other values (80) 5177 9.4%
 
(Missing) 12610 22.9%
 
ValueCountFrequency (%) 
0 723 1.3%
 
5 2 < 0.1%
 
6 1 < 0.1%
 
7 1 < 0.1%
 
8 1 < 0.1%
 
ValueCountFrequency (%) 
100 30958 56.3%
 
99 825 1.5%
 
98 489 0.9%
 
97 459 0.8%
 
96 406 0.7%
 

Host_Response_Time
Categorical

MISSING
Distinct count5
Unique (%)< 0.1%
Missing12610
Missing (%)22.9%
Memory size3.3 MiB
within an hour
22500
within a few hours
10666
within a day
7894
a few days or more
 
1330
ValueCountFrequency (%) 
within an hour 22500 40.9%
 
within a few hours 10666 19.4%
 
within a day 7894 14.4%
 
a few days or more 1330 2.4%
 
(Missing) 12610 22.9%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length18
Mean length12.06338182
Min length3
Scatter

Host_Since
Categorical

HIGH CARDINALITY
Distinct count2770
Unique (%)5.0%
Missing52
Missing (%)0.1%
Memory size3.3 MiB
2015-05-21
 
100
2012-09-20
 
99
2015-03-30
 
71
2016-01-12
 
68
2015-04-13
 
64
Other values (2764)
54546
ValueCountFrequency (%) 
2015-05-21 100 0.2%
 
2012-09-20 99 0.2%
 
2015-03-30 71 0.1%
 
2016-01-12 68 0.1%
 
2015-04-13 64 0.1%
 
2015-07-29 64 0.1%
 
2015-07-21 63 0.1%
 
2015-06-09 63 0.1%
 
2015-07-22 61 0.1%
 
2015-09-09 59 0.1%
 
Other values (2759) 54236 98.6%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length10
Mean length9.993381818
Min length3
Scatter
Distinct count49538
Unique (%)90.1%
Missing52
Missing (%)0.1%
Memory size3.3 MiB
https://a0.muscache.com/defaults/user_pic-50x50.png?v=2
 
89
https://a0.muscache.com/defaults/user_pic-50x50.png?v=3
 
86
https://a0.muscache.com/im/pictures/3fae278a-f22a-4b8f-829c-c8f8b184cca0.jpg?aki_policy=profile_small
 
72
https://a0.muscache.com/im/users/33889201/profile_pic/1434447500/original.jpg?aki_policy=profile_small
 
65
https://a0.muscache.com/im/pictures/0153828e-38b7-4ca0-8518-9b675bcceef7.jpg?aki_policy=profile_small
 
24
Other values (49532)
54612
(Missing)
 
52
ValueCountFrequency (%) 
https://a0.muscache.com/defaults/user_pic-50x50.png?v=2 89 0.2%
 
https://a0.muscache.com/defaults/user_pic-50x50.png?v=3 86 0.2%
 
https://a0.muscache.com/im/pictures/3fae278a-f22a-4b8f-829c-c8f8b184cca0.jpg?aki_policy=profile_small 72 0.1%
 
https://a0.muscache.com/im/users/33889201/profile_pic/1434447500/original.jpg?aki_policy=profile_small 65 0.1%
 
https://a0.muscache.com/im/pictures/0153828e-38b7-4ca0-8518-9b675bcceef7.jpg?aki_policy=profile_small 24 < 0.1%
 
https://a0.muscache.com/im/pictures/ca805bb8-e714-45c0-b5c5-ea6a3b272fa9.jpg?aki_policy=profile_small 24 < 0.1%
 
https://a0.muscache.com/im/pictures/8f3ec0f2-16eb-45bf-b714-aad8c7b8dd71.jpg?aki_policy=profile_small 22 < 0.1%
 
https://a0.muscache.com/im/pictures/c071e13e-5719-4a57-af6e-489d46a29a5f.jpg?aki_policy=profile_small 20 < 0.1%
 
https://a0.muscache.com/im/pictures/d161f317-ca83-4630-9624-e36c62001988.jpg?aki_policy=profile_small 19 < 0.1%
 
https://a0.muscache.com/im/pictures/0182cee4-4dbd-48e5-8cf3-ddf42c331577.jpg?aki_policy=profile_small 18 < 0.1%
 
Other values (49527) 54509 99.1%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
https 54948 99.9%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
a0.muscache.com 50631 92.1%
 
a2.muscache.com 3135 5.7%
 
a1.muscache.com 1182 2.1%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
/defaults/user_pic-50x50.png 190 0.3%
 
/im/pictures/3fae278a-f22a-4b8f-829c-c8f8b184cca0.jpg 72 0.1%
 
/im/users/33889201/profile_pic/1434447500/original.jpg 65 0.1%
 
/im/pictures/0153828e-38b7-4ca0-8518-9b675bcceef7.jpg 24 < 0.1%
 
/im/pictures/ca805bb8-e714-45c0-b5c5-ea6a3b272fa9.jpg 24 < 0.1%
 
/im/pictures/8f3ec0f2-16eb-45bf-b714-aad8c7b8dd71.jpg 22 < 0.1%
 
/im/users/25188/profile_pic/1265272246/original.jpg 21 < 0.1%
 
/im/pictures/c071e13e-5719-4a57-af6e-489d46a29a5f.jpg 20 < 0.1%
 
/im/pictures/a9016bc9-8db1-4704-9ddd-a7fabc183362.jpg 20 < 0.1%
 
/im/pictures/d161f317-ca83-4630-9624-e36c62001988.jpg 19 < 0.1%
 
Other values (49510) 54471 99.0%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
aki_policy=profile_small 54084 98.3%
 
interpolation=lanczos-none&crop=w:w;*,*&crop=h:h;*,*&resize=50:*&output-format=jpg&output-quality=70 674 1.2%
 
v=2 104 0.2%
 
v=3 86 0.2%
 
(Missing) 52 0.1%
 
ValueCountFrequency (%) 
54948 99.9%
 
(Missing) 52 0.1%
 

Host_Total_Listings_Count
Real number (ℝ≥0)

HIGH CORRELATION
Distinct count187
Unique (%)0.3%
Missing52
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean9.110886656
Minimum0.0
Maximum959.0
Zeros50
Zeros (%)0.1%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile27
Maximum959
Range959
Interquartile range (IQR)2

Descriptive statistics

Standard deviation53.17399903
Coefficient of variation (CV)5.836314404
Kurtosis206.0390611
Mean9.110886656
Median Absolute Deviation (MAD)13.10922315
Skewness13.4759821
Sum500625
Variance2827.474173
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 32220 58.6%
 
2 8160 14.8%
 
3 3441 6.3%
 
4 1887 3.4%
 
5 1240 2.3%
 
6 865 1.6%
 
7 597 1.1%
 
8 523 1.0%
 
9 435 0.8%
 
10 370 0.7%
 
Other values (176) 5210 9.5%
 
ValueCountFrequency (%) 
0 50 0.1%
 
1 32220 58.6%
 
2 8160 14.8%
 
3 3441 6.3%
 
4 1887 3.4%
 
ValueCountFrequency (%) 
959 72 0.1%
 
879 8 < 0.1%
 
856 1 < 0.1%
 
855 1 < 0.1%
 
839 1 < 0.1%
 
Distinct count49743
Unique (%)90.4%
Missing0
Missing (%)0.0%
Memory size3.3 MiB
https://www.airbnb.com/users/show/3625030
 
72
https://www.airbnb.com/users/show/33889201
 
65
https://www.airbnb.com/users/show/12243051
 
31
https://www.airbnb.com/users/show/48703385
 
24
https://www.airbnb.com/users/show/43337979
 
24
Other values (49738)
54784
ValueCountFrequency (%) 
https://www.airbnb.com/users/show/3625030 72 0.1%
 
https://www.airbnb.com/users/show/33889201 65 0.1%
 
https://www.airbnb.com/users/show/12243051 31 0.1%
 
https://www.airbnb.com/users/show/48703385 24 < 0.1%
 
https://www.airbnb.com/users/show/43337979 24 < 0.1%
 
https://www.airbnb.com/users/show/31148752 22 < 0.1%
 
https://www.airbnb.com/users/show/54310958 22 < 0.1%
 
https://www.airbnb.com/users/show/25188 21 < 0.1%
 
https://www.airbnb.com/users/show/102947901 20 < 0.1%
 
https://www.airbnb.com/users/show/1914283 19 < 0.1%
 
Other values (49733) 54680 99.4%
 
ValueCountFrequency (%) 
https 55000 100.0%
 
ValueCountFrequency (%) 
www.airbnb.com 55000 100.0%
 
ValueCountFrequency (%) 
/users/show/3625030 72 0.1%
 
/users/show/33889201 65 0.1%
 
/users/show/12243051 31 0.1%
 
/users/show/48703385 24 < 0.1%
 
/users/show/43337979 24 < 0.1%
 
/users/show/31148752 22 < 0.1%
 
/users/show/54310958 22 < 0.1%
 
/users/show/25188 21 < 0.1%
 
/users/show/102947901 20 < 0.1%
 
/users/show/1914283 19 < 0.1%
 
Other values (49733) 54680 99.4%
 
ValueCountFrequency (%) 
55000 100.0%
 
ValueCountFrequency (%) 
55000 100.0%
 

Host_Verifications
Categorical

HIGH CARDINALITY
Distinct count542
Unique (%)1.0%
Missing32
Missing (%)0.1%
Memory size3.3 MiB
email,phone,reviews,jumio
11973
email,phone,reviews
11400
email,phone,facebook,reviews,jumio
 
3401
email,phone
 
2889
email,phone,facebook,reviews
 
2857
Other values (536)
22448
ValueCountFrequency (%) 
email,phone,reviews,jumio 11973 21.8%
 
email,phone,reviews 11400 20.7%
 
email,phone,facebook,reviews,jumio 3401 6.2%
 
email,phone 2889 5.3%
 
email,phone,facebook,reviews 2857 5.2%
 
email,phone,reviews,kba 2832 5.1%
 
email,phone,reviews,jumio,government_id 2246 4.1%
 
email,phone,facebook,reviews,kba 1265 2.3%
 
email,phone,facebook,reviews,jumio,government_id 1168 2.1%
 
email,phone,reviews,jumio,work_email 1153 2.1%
 
Other values (531) 13784 25.1%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length127
Mean length28.40954545
Min length3
Scatter

House_Rules
Categorical

MISSING
HIGH CARDINALITY
Distinct count31242
Unique (%)56.8%
Missing21668
Missing (%)39.4%
Memory size3.3 MiB
- The lead guest will be required to sign an Occupation Agreement prior to arrival. This is for insurance purposes to say that the guests will look after the property and not smoke or have parties - Please note that the lead guest must be over 25 years old - Normal check in time is between 3pm and 9pm. Any time outside of this period may incur an additional fee - No pets, no parties or smoking, please
 
63
No smoking
 
59
No smoking.
 
37
Please don't trash the place, don't smoke inside or be loud at night. Other than that, enjoy it as your own apartment.
 
35
.
 
33
Other values (31236)
33105
ValueCountFrequency (%) 
- The lead guest will be required to sign an Occupation Agreement prior to arrival. This is for insurance purposes to say that the guests will look after the property and not smoke or have parties - Please note that the lead guest must be over 25 years old - Normal check in time is between 3pm and 9pm. Any time outside of this period may incur an additional fee - No pets, no parties or smoking, please 63 0.1%
 
No smoking 59 0.1%
 
No smoking. 37 0.1%
 
Please don't trash the place, don't smoke inside or be loud at night. Other than that, enjoy it as your own apartment. 35 0.1%
 
. 33 0.1%
 
- No shoes in the house 29 0.1%
 
- Please treat the home as you would your own. - Please respect the neighbours, and do not make significant noise or play loud music after 10pm. - No parties 29 0.1%
 
Please don't trash the place, don't smoke inside or be loud at night. Other than that, enjoy as it is your own apartment. 28 0.1%
 
*Guests must be over the age of 25 and will be an occupant of the unit during the entire reserved period. *No parties, excessive noise, or any illegal activity shall take place at property. *No pets are allowed unless otherwise noted for specific properties. * No smoking is allowed in or around any property. Cleaning: Each property will be cleaned and inspected after your departure. We ask you to help us enable the cleaning crews as much as possible. Simple things like leaving the property tidy, running the dishwasher, starting to wash the towels, and taking out the trash are expected of our guests. If excessive wear and tear is found on property, or additional cleaning is necessary due to spills, trash left on site, unclean dishes, stains to furniture, carpeting, linens, paint, wallpaper, or flooring, Guest authorizes the Owner to bill them for additional fees. If at any time the maximum number of occupants is exceeded or if the Owner receives information about excessive n 20 < 0.1%
 
No Smoking 19 < 0.1%
 
Other values (31231) 32980 60.0%
 
(Missing) 21668 39.4%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length173.6165636
Min length1
Scatter

ID
Real number (ℝ≥0)

UNIQUE
Distinct count55000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9847567.556
Minimum590
Maximum19283762
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum590
5-th percentile847572.45
Q15287577.5
median10082490.5
Q314613434.5
95-th percentile17550504.05
Maximum19283762
Range19283172
Interquartile range (IQR)9325857

Descriptive statistics

Standard deviation5421657.945
Coefficient of variation (CV)0.550558086
Kurtosis-1.209943863
Mean9847567.556
Median Absolute Deviation (MAD)4728546.123
Skewness-0.1738532771
Sum5.416162156e+11
Variance2.939437488e+13
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[5.90000000e+02 8.55240000e+04 1.51627000e+05 5.28099500e+05 1.00558750e+06 ... 1.75479715e+07 1.80918620e+07 1.85092600e+07 1.86521715e+07 1.92837620e+07], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
13742136 1 < 0.1%
 
17409441 1 < 0.1%
 
14833055 1 < 0.1%
 
13917598 1 < 0.1%
 
1983901 1 < 0.1%
 
14187930 1 < 0.1%
 
12477849 1 < 0.1%
 
17186194 1 < 0.1%
 
14296465 1 < 0.1%
 
12113295 1 < 0.1%
 
Other values (54990) 54990 > 99.9%
 
ValueCountFrequency (%) 
590 1 < 0.1%
 
686 1 < 0.1%
 
1632 1 < 0.1%
 
2141 1 < 0.1%
 
2265 1 < 0.1%
 
ValueCountFrequency (%) 
19283762 1 < 0.1%
 
19283371 1 < 0.1%
 
19281835 1 < 0.1%
 
19267030 1 < 0.1%
 
19253848 1 < 0.1%
 

Interaction
Categorical

MISSING
HIGH CARDINALITY
Distinct count26891
Unique (%)48.9%
Missing26278
Missing (%)47.8%
Memory size3.3 MiB
Iamb&b will let you in, hand you the keys and show you around in the house and if you like in Amsterdam. After that you can always call if you need any assistance.
 
81
If you have questions during your stay, please do not hesitate to contact us at any time through email or phone.
 
63
We will be contactable by email or telephone during your stay.
 
42
Iambnb will let you in, hand you the keys and show you around in the house and if you like in Amsterdam. After that you can always call if you need any assistance.
 
22
We will be more than happy to help you with anything you need. We can organize a transfer from the airport to the apartment.
 
20
Other values (26885)
28494
ValueCountFrequency (%) 
Iamb&b will let you in, hand you the keys and show you around in the house and if you like in Amsterdam. After that you can always call if you need any assistance. 81 0.1%
 
If you have questions during your stay, please do not hesitate to contact us at any time through email or phone. 63 0.1%
 
We will be contactable by email or telephone during your stay. 42 0.1%
 
Iambnb will let you in, hand you the keys and show you around in the house and if you like in Amsterdam. After that you can always call if you need any assistance. 22 < 0.1%
 
We will be more than happy to help you with anything you need. We can organize a transfer from the airport to the apartment. 20 < 0.1%
 
I will meet you at the apartment, handle the keys and show you around. After that feel free to contact me on Airbnb if you need any assistance or tips! I am more then happy to help you! Check in after 8PM will be a additional €15 in cash. 20 < 0.1%
 
Feel free to contact us on Airbnb during your stay, if you have any questions about the apartment, or if you need any recommendations or tips on how to get around in the area and city. We're always happy to help. We are also able to meet up with you personally if desired. Just let us know and we will be there as soon as possible! 16 < 0.1%
 
Our concierge is available by phone, email, or Messenger 24/7. Don’t hesitate to contact us if you need anything, from extra towels to restaurant recommendations. Otherwise, we’ll leave you to enjoy your stay. 15 < 0.1%
 
If you have any questions about the apartment or if you need recommendations or neighbourhood tips, please feel free to give us a ring during your stay. We're always happy to help! 14 < 0.1%
 
I am totally available to help my guests during all their stay 14 < 0.1%
 
Other values (26880) 28415 51.7%
 
(Missing) 26278 47.8%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length90.61929091
Min length1
Scatter

Jurisdiction_Names
Categorical

MISSING
Distinct count21
Unique (%)< 0.1%
Missing39423
Missing (%)71.7%
Memory size3.3 MiB
Paris
5900
Amsterdam
3031
City of Los Angeles, CA
2245
SAN FRANCISCO
 
958
DISTRICT OF COLUMBIA, WASHINGTON
 
776
Other values (15)
2667
ValueCountFrequency (%) 
Paris 5900 10.7%
 
Amsterdam 3031 5.5%
 
City of Los Angeles, CA 2245 4.1%
 
SAN FRANCISCO 958 1.7%
 
DISTRICT OF COLUMBIA, WASHINGTON 776 1.4%
 
SAN DIEGO, SAN DIEGO TOURISM MARKETING DISTRICT A, SAN DIEGO TOURISM MARKETING DISTRICT B 680 1.2%
 
Louisiana State, New Orleans, LA 504 0.9%
 
WASHINGTON 411 0.7%
 
OREGON, MULTNOMAH, PORTLAND 392 0.7%
 
Illinois State, Cook County, IL, CHICAGO 351 0.6%
 
Other values (10) 329 0.6%
 
(Missing) 39423 71.7%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length89
Mean length6.777527273
Min length3
Scatter

Last_Review
Categorical

MISSING
HIGH CARDINALITY
Distinct count1198
Unique (%)2.2%
Missing13492
Missing (%)24.5%
Memory size3.3 MiB
2017-03-26
 
664
2017-03-19
 
548
2017-04-30
 
546
2017-01-01
 
541
2017-01-02
 
527
Other values (1192)
38682
ValueCountFrequency (%) 
2017-03-26 664 1.2%
 
2017-03-19 548 1.0%
 
2017-04-30 546 1.0%
 
2017-01-01 541 1.0%
 
2017-01-02 527 1.0%
 
2017-04-02 502 0.9%
 
2017-05-01 471 0.9%
 
2017-04-23 415 0.8%
 
2017-02-26 393 0.7%
 
2017-03-27 376 0.7%
 
Other values (1187) 36525 66.4%
 
(Missing) 13492 24.5%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length10
Mean length8.282836364
Min length3
Scatter

Last_Scraped
Categorical

TYPE DATE
Distinct count47
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.3 MiB
2017-05-09
 
4952
2017-05-03
 
4865
2017-04-08
 
4569
2017-04-02
 
4085
2017-04-05
 
4050
Other values (42)
32479
ValueCountFrequency (%) 
2017-05-09 4952 9.0%
 
2017-05-03 4865 8.8%
 
2017-04-08 4569 8.3%
 
2017-04-02 4085 7.4%
 
2017-04-05 4050 7.4%
 
2017-03-05 3460 6.3%
 
2017-05-08 2345 4.3%
 
2017-03-04 2320 4.2%
 
2017-04-03 2306 4.2%
 
2017-04-04 2062 3.7%
 
Other values (37) 19986 36.3%
 

Composition

Contains charsFalse
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length10
Mean length10
Min length10
Scatter

Latitude
Real number (ℝ)

UNIQUE
Distinct count55000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.8798182
Minimum-38.19054093160293
Maximum55.9908313671044
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum-38.19054093
5-th percentile-33.88675778
Q137.98007563
median41.90471747
Q351.21900343
95-th percentile53.3381926
Maximum55.99083137
Range94.1813723
Interquartile range (IQR)13.2389278

Descriptive statistics

Standard deviation22.66596155
Coefficient of variation (CV)0.598365109
Kurtosis5.69981315
Mean37.8798182
Median Absolute Deviation (MAD)13.38556217
Skewness-2.592555318
Sum2083390.001
Variance513.7458129
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[-38.19054093 -37.95539838 -37.88777177 -37.86944405 -37.82552352 ... 55.92002076 55.93435549 55.96508027 55.97761315 55.99083137], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
-37.82462047 1 < 0.1%
 
39.83795694 1 < 0.1%
 
41.97093048 1 < 0.1%
 
41.90126813 1 < 0.1%
 
48.83384301 1 < 0.1%
 
51.54770592 1 < 0.1%
 
48.86790203 1 < 0.1%
 
42.33376386 1 < 0.1%
 
52.35015318 1 < 0.1%
 
45.53003171 1 < 0.1%
 
Other values (54990) 54990 > 99.9%
 
ValueCountFrequency (%) 
-38.19054093 1 < 0.1%
 
-38.18226677 1 < 0.1%
 
-38.16710551 1 < 0.1%
 
-38.16124666 1 < 0.1%
 
-38.15720732 1 < 0.1%
 
ValueCountFrequency (%) 
55.99083137 1 < 0.1%
 
55.98925906 1 < 0.1%
 
55.98922234 1 < 0.1%
 
55.98772096 1 < 0.1%
 
55.9871476 1 < 0.1%
 

License
Categorical

MISSING
HIGH CARDINALITY
Distinct count1153
Unique (%)2.1%
Missing53367
Missing (%)97.0%
Memory size3.3 MiB
City registration pending
436
145636
 
4
0289599-0
 
4
154316
 
3
14-241130-000-00-RS
 
3
Other values (1147)
1183
ValueCountFrequency (%) 
City registration pending 436 0.8%
 
145636 4 < 0.1%
 
0289599-0 4 < 0.1%
 
154316 3 < 0.1%
 
14-241130-000-00-RS 3 < 0.1%
 
City Registration Pending 3 < 0.1%
 
AJ-000588 3 < 0.1%
 
DRIAT 3 < 0.1%
 
151934 3 < 0.1%
 
17STR-05917 2 < 0.1%
 
Other values (1142) 1169 2.1%
 
(Missing) 53367 97.0%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length483
Mean length3.440709091
Min length1
Scatter

Listing_Url
URL

UNIQUE
Distinct count55000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 MiB
https://www.airbnb.com/rooms/2691139
 
1
https://www.airbnb.com/rooms/11514182
 
1
https://www.airbnb.com/rooms/11937563
 
1
https://www.airbnb.com/rooms/1996808
 
1
https://www.airbnb.com/rooms/3579310
 
1
Other values (54995)
54995
ValueCountFrequency (%) 
https://www.airbnb.com/rooms/2691139 1 < 0.1%
 
https://www.airbnb.com/rooms/11514182 1 < 0.1%
 
https://www.airbnb.com/rooms/11937563 1 < 0.1%
 
https://www.airbnb.com/rooms/1996808 1 < 0.1%
 
https://www.airbnb.com/rooms/3579310 1 < 0.1%
 
https://www.airbnb.com/rooms/10813377 1 < 0.1%
 
https://www.airbnb.com/rooms/2807409 1 < 0.1%
 
https://www.airbnb.com/rooms/11854022 1 < 0.1%
 
https://www.airbnb.com/rooms/14187189 1 < 0.1%
 
https://www.airbnb.com/rooms/7989487 1 < 0.1%
 
Other values (54990) 54990 > 99.9%
 
ValueCountFrequency (%) 
https 55000 100.0%
 
ValueCountFrequency (%) 
www.airbnb.com 55000 100.0%
 
ValueCountFrequency (%) 
/rooms/1439228 1 < 0.1%
 
/rooms/12534110 1 < 0.1%
 
/rooms/6981672 1 < 0.1%
 
/rooms/7846860 1 < 0.1%
 
/rooms/17097070 1 < 0.1%
 
/rooms/16016823 1 < 0.1%
 
/rooms/8140437 1 < 0.1%
 
/rooms/11346885 1 < 0.1%
 
/rooms/9141234 1 < 0.1%
 
/rooms/10514875 1 < 0.1%
 
Other values (54990) 54990 > 99.9%
 
ValueCountFrequency (%) 
55000 100.0%
 
ValueCountFrequency (%) 
55000 100.0%
 

Longitude
Real number (ℝ)

UNIQUE
Distinct count55000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-14.90010024
Minimum-123.21121425455685
Maximum153.62169004225123
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum-123.2112143
5-th percentile-118.562284
Q1-73.96835751
median2.158994496
Q36.203621783
95-th percentile151.0655219
Maximum153.62169
Range276.8329043
Interquartile range (IQR)80.1719793

Descriptive statistics

Standard deviation69.80364388
Coefficient of variation (CV)-4.684776796
Kurtosis0.417279548
Mean-14.90010024
Median Absolute Deviation (MAD)52.5561386
Skewness0.5386125522
Sum-819505.5134
Variance4872.548698
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[-123.21121425 -123.19149356 -123.13885467 -123.09739019 -123.05178413 ... 153.17571025 153.38258996 153.51318271 153.60858934 153.62169004], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
-104.9743505 1 < 0.1%
 
12.46598641 1 < 0.1%
 
4.860637046 1 < 0.1%
 
13.42651908 1 < 0.1%
 
-73.97336692 1 < 0.1%
 
151.267324 1 < 0.1%
 
-0.06886369662 1 < 0.1%
 
2.184422084 1 < 0.1%
 
151.2721201 1 < 0.1%
 
12.46725451 1 < 0.1%
 
Other values (54990) 54990 > 99.9%
 
ValueCountFrequency (%) 
-123.2112143 1 < 0.1%
 
-123.209777 1 < 0.1%
 
-123.2040908 1 < 0.1%
 
-123.2018381 1 < 0.1%
 
-123.1992584 1 < 0.1%
 
ValueCountFrequency (%) 
153.62169 1 < 0.1%
 
153.620369 1 < 0.1%
 
153.619958 1 < 0.1%
 
153.6198637 1 < 0.1%
 
153.6197899 1 < 0.1%
 

Market
Categorical

MISSING
HIGH CARDINALITY
Distinct count77
Unique (%)0.1%
Missing653
Missing (%)1.2%
Memory size3.3 MiB
Paris
 
5999
London
 
5606
New York
 
4046
Los Angeles
 
3294
Barcelona
 
3145
Other values (71)
32257
ValueCountFrequency (%) 
Paris 5999 10.9%
 
London 5606 10.2%
 
New York 4046 7.4%
 
Los Angeles 3294 6.0%
 
Barcelona 3145 5.7%
 
Amsterdam 3113 5.7%
 
Sydney 2614 4.8%
 
Rome 2504 4.6%
 
Austin 1857 3.4%
 
Berlin 1759 3.2%
 
Other values (66) 20410 37.1%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length39
Mean length7.543290909
Min length3
Scatter

Maximum_Nights
Real number (ℝ≥0)

SKEWED
Distinct count276
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean275053.4708
Minimum1
Maximum2147483647
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile7
Q131
median1125
Q31125
95-th percentile1125
Maximum2147483647
Range2147483646
Interquartile range (IQR)1094

Descriptive statistics

Standard deviation24225805.42
Coefficient of variation (CV)88.07671231
Kurtosis7852.515047
Mean275053.4708
Median Absolute Deviation (MAD)548406.3113
Skewness88.62314012
Sum1.512794089e+10
Variance5.86889648e+14
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.00000000e+00 1.50000000e+00 2.50000000e+00 4.50000000e+00 5.50000000e+00 ... 9.49995000e+04 9.99995000e+04 4.44444000e+05 1.50000000e+07 2.14748365e+09], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
1125 35113 63.8%
 
30 2777 5.0%
 
14 1563 2.8%
 
7 1548 2.8%
 
365 1388 2.5%
 
90 953 1.7%
 
10 894 1.6%
 
60 886 1.6%
 
15 739 1.3%
 
5 630 1.1%
 
Other values (266) 8509 15.5%
 
ValueCountFrequency (%) 
1 62 0.1%
 
2 201 0.4%
 
3 478 0.9%
 
4 439 0.8%
 
5 630 1.1%
 
ValueCountFrequency (%) 
2147483647 7 < 0.1%
 
20000000 1 < 0.1%
 
10000000 1 < 0.1%
 
9999999 2 < 0.1%
 
1000000 2 < 0.1%
 

Medium_Url
URL

MISSING
Distinct count44409
Unique (%)80.7%
Missing10592
Missing (%)19.3%
Memory size3.3 MiB
https://a0.muscache.com/im/pictures/52285623/0f80e126_original.jpg?aki_policy=medium
 
1
https://a0.muscache.com/im/pictures/49612d17-b3d0-4e60-b07d-f2387a923e54.jpg?aki_policy=medium
 
1
https://a0.muscache.com/im/pictures/73e38a99-a4e6-4cb1-a918-264ec1131741.jpg?aki_policy=medium
 
1
https://a0.muscache.com/im/pictures/19473138/ad45e519_original.jpg?aki_policy=medium
 
1
https://a0.muscache.com/im/pictures/80538323/303b3e7b_original.jpg?aki_policy=medium
 
1
Other values (44403)
44403
(Missing)
10592
ValueCountFrequency (%) 
https://a0.muscache.com/im/pictures/52285623/0f80e126_original.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/49612d17-b3d0-4e60-b07d-f2387a923e54.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/73e38a99-a4e6-4cb1-a918-264ec1131741.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/19473138/ad45e519_original.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/80538323/303b3e7b_original.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/20393420/7bcf844a_original.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/8f13955a-9e0e-404d-b4ea-9293b58c083d.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/d5664346-17cc-408f-be38-7642ffe33a20.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/1726dcb8-8461-416c-a89c-66792089df21.jpg?aki_policy=medium 1 < 0.1%
 
https://a0.muscache.com/im/pictures/960608e5-0a06-4ee1-a4f1-1137c00080f7.jpg?aki_policy=medium 1 < 0.1%
 
Other values (44398) 44398 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
https 44408 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
a0.muscache.com 40480 73.6%
 
a2.muscache.com 3094 5.6%
 
a1.muscache.com 834 1.5%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
/im/pictures/12325070/a11be23a_original.jpg 1 < 0.1%
 
/im/pictures/b9dd505b-69a3-43b4-8736-d778e8321464.jpg 1 < 0.1%
 
/im/pictures/107091354/61d2467e_original.jpg 1 < 0.1%
 
/im/pictures/de03ac32-c045-4e4d-9e63-7e57d7581032.jpg 1 < 0.1%
 
/im/pictures/dcf2c1e6-4494-4094-9f3a-75f4aa8d650f.jpg 1 < 0.1%
 
/im/pictures/53668981/06b8c570_original.jpg 1 < 0.1%
 
/im/pictures/7f3a9e18-7a50-46c3-bcfa-27a658e51837.jpg 1 < 0.1%
 
/im/pictures/5b91764f-810d-4a97-86e0-1d65861c743a.jpg 1 < 0.1%
 
/im/pictures/2eb3f172-f9b6-4790-8a58-e27884f9cede.jpg 1 < 0.1%
 
/im/pictures/54df9e2d-b1cd-4592-9da4-cc8e954bcd8e.jpg 1 < 0.1%
 
Other values (44398) 44398 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
aki_policy=medium 44408 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
44408 80.7%
 
(Missing) 10592 19.3%
 

Minimum_Nights
Real number (ℝ≥0)

SKEWED
Distinct count70
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.257090909
Minimum1
Maximum3888
Zeros0
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Mini histogram

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5-th percentile1
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Descriptive statistics

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Coefficient of variation (CV)5.831886875
Kurtosis31992.42382
Mean3.257090909
Median Absolute Deviation (MAD)2.40208964
Skewness160.5059403
Sum179140
Variance360.8094826
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.000e+00 1.500e+00 2.500e+00 3.500e+00 4.500e+00 ... 8.950e+01 9.050e+01 1.810e+02 5.115e+02 3.888e+03], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
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2 16478 30.0%
 
3 9457 17.2%
 
4 2785 5.1%
 
5 2554 4.6%
 
7 2124 3.9%
 
6 659 1.2%
 
14 347 0.6%
 
30 342 0.6%
 
10 310 0.6%
 
Other values (60) 932 1.7%
 
ValueCountFrequency (%) 
1 19012 34.6%
 
2 16478 30.0%
 
3 9457 17.2%
 
4 2785 5.1%
 
5 2554 4.6%
 
ValueCountFrequency (%) 
3888 1 < 0.1%
 
1000 1 < 0.1%
 
523 1 < 0.1%
 
500 2 < 0.1%
 
365 4 < 0.1%
 

Monthly_Price
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Mini histogram

Quantile statistics

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5-th percentile600
Q11150
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Q33000
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Descriptive statistics

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Coefficient of variation (CV)1.577045674
Kurtosis189.8732509
Mean2876.253642
Median Absolute Deviation (MAD)2015.029444
Skewness10.20900939
Sum30606215
Variance20575145.08
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
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2000 354 0.6%
 
1200 341 0.6%
 
2500 292 0.5%
 
1800 263 0.5%
 
1000 255 0.5%
 
3000 243 0.4%
 
1600 194 0.4%
 
1400 189 0.3%
 
900 188 0.3%
 
Other values (1561) 7949 14.5%
 
(Missing) 44359 80.7%
 
ValueCountFrequency (%) 
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196 1 < 0.1%
 
255 1 < 0.1%
 
265 1 < 0.1%
 
270 2 < 0.1%
 
ValueCountFrequency (%) 
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111541 1 < 0.1%
 
110006 1 < 0.1%
 
92802 1 < 0.1%
 
73620 1 < 0.1%
 

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Memory size3.3 MiB
Single room
 
6
Chambre à louer
 
6
Double room
 
6
Charming apartment in Montmartre
 
6
Home Sweet Home
 
6
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54917
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Chambre à louer 6 < 0.1%
 
Double room 6 < 0.1%
 
Charming apartment in Montmartre 6 < 0.1%
 
Home Sweet Home 6 < 0.1%
 
Lovely room 5 < 0.1%
 
Amsterdam 5 < 0.1%
 
Apartment 5 < 0.1%
 
Private room 4 < 0.1%
 
Habitación doble 4 < 0.1%
 
Other values (54524) 54894 99.8%
 
(Missing) 53 0.1%
 

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(URL HIDDEN)
 
19
Amsterdam West is one of the most diverse neighbourhoods in town. You find almost everything there! This multi-culti area – with a laid back attitude – is home to a cool mix of independent stores and many restaurant hotspots. You will find a diversity of hipster- proof coffee places, cool concept stores and vintage boutiques. Amsterdam West is also great for foodies! You find a nice eatery at almost every corner.
 
14
Pollensa and its surroundings is one of the most beautiful areas of the island and an ideal retreat for vacationers who are looking for the original Mallorca as well as outstanding beaches. Here a diverse landscape merges with well-kept sandy beaches and coves nestled into cliff lines beckoning to swim. Old and young will enjoy the fine white sand beaches and gentle turquoise waves. The bay of Pollensa is very popular with the marine community and offers excellent opportunities for water sports, including sailing and kite surfing. The old fisherman’s village has conserved its typical charm and is very appreciated for its long beach and its emblematic sea front stroll, the’Pine Walk’. From Puerto Pollensa a short drive through breathtaking landscape takes you to Formentor, the lost utopia. Its pine bordered beach with the imposing mountain background has captivated many artists and painters . The Sierra de Tramuntana is ideally suited for hiking and biking excursions. Cala San Vicente
 
11
Oud West is close to the city-centre and close to both Vondelpark and Rembrandtpark. Ten Katestraat market is an excellent outdoor market with its charming cross-street ‘Bellamystraat’ giving the area an old-fashion village vibe – complete with dance studio and blacksmith. Kinkerstraat is a multicultural area with a large shopping street filled with bars, restaurants, clothes etc. It’s criss-crossed with commercial streets, including Overtoom which has become a major interiors boulevard. Two of the city’s more interesting alternative cultural complexes, OT301 and Lab111, which both mix music, film and art, are located here. But for a real taste for the relaxed diversity of this neighbourhood, visit the sprawling terrace of Du Cap to truly witness all walks of life. And again: the whole city is pretty much nearby.
 
9
Barcelona´s 19th century Eixample district is the birthplace of the Modernism movement where Antoni Gaudi is considered the leader. When looking to experience Barcelona´s world renowned reputation for leading 19th century architecture, this area is king. With all the Gaudi sites within reach like the grand and impressive famous Sagrada familia, the two famous Gaudi houses of La Perdera and Manzana de la Discordia, the sprawling Hospital de la Santa Creu i Sant Pau, you´ll spend hours rambling along and looking upwards. This grid-patterned area was created in the 19th century to accommodate the overflowing population from old Barcelona; luckily this coincided with Barcelona’s golden age of architecture.. Gaudí, Puig I Cadafalch, Domènech I Montaner were employed by the wealthy to build townhouses, each one more daring than the last… The Eixample district is divided in two, the Eixample Dreta (right side) and Eixample Esquerra (left side), this divide is marked by Passeig de
 
8
Other values (31581)
32482
ValueCountFrequency (%) 
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Amsterdam West is one of the most diverse neighbourhoods in town. You find almost everything there! This multi-culti area – with a laid back attitude – is home to a cool mix of independent stores and many restaurant hotspots. You will find a diversity of hipster- proof coffee places, cool concept stores and vintage boutiques. Amsterdam West is also great for foodies! You find a nice eatery at almost every corner. 14 < 0.1%
 
Pollensa and its surroundings is one of the most beautiful areas of the island and an ideal retreat for vacationers who are looking for the original Mallorca as well as outstanding beaches. Here a diverse landscape merges with well-kept sandy beaches and coves nestled into cliff lines beckoning to swim. Old and young will enjoy the fine white sand beaches and gentle turquoise waves. The bay of Pollensa is very popular with the marine community and offers excellent opportunities for water sports, including sailing and kite surfing. The old fisherman’s village has conserved its typical charm and is very appreciated for its long beach and its emblematic sea front stroll, the’Pine Walk’. From Puerto Pollensa a short drive through breathtaking landscape takes you to Formentor, the lost utopia. Its pine bordered beach with the imposing mountain background has captivated many artists and painters . The Sierra de Tramuntana is ideally suited for hiking and biking excursions. Cala San Vicente 11 < 0.1%
 
Oud West is close to the city-centre and close to both Vondelpark and Rembrandtpark. Ten Katestraat market is an excellent outdoor market with its charming cross-street ‘Bellamystraat’ giving the area an old-fashion village vibe – complete with dance studio and blacksmith. Kinkerstraat is a multicultural area with a large shopping street filled with bars, restaurants, clothes etc. It’s criss-crossed with commercial streets, including Overtoom which has become a major interiors boulevard. Two of the city’s more interesting alternative cultural complexes, OT301 and Lab111, which both mix music, film and art, are located here. But for a real taste for the relaxed diversity of this neighbourhood, visit the sprawling terrace of Du Cap to truly witness all walks of life. And again: the whole city is pretty much nearby. 9 < 0.1%
 
Barcelona´s 19th century Eixample district is the birthplace of the Modernism movement where Antoni Gaudi is considered the leader. When looking to experience Barcelona´s world renowned reputation for leading 19th century architecture, this area is king. With all the Gaudi sites within reach like the grand and impressive famous Sagrada familia, the two famous Gaudi houses of La Perdera and Manzana de la Discordia, the sprawling Hospital de la Santa Creu i Sant Pau, you´ll spend hours rambling along and looking upwards. This grid-patterned area was created in the 19th century to accommodate the overflowing population from old Barcelona; luckily this coincided with Barcelona’s golden age of architecture.. Gaudí, Puig I Cadafalch, Domènech I Montaner were employed by the wealthy to build townhouses, each one more daring than the last… The Eixample district is divided in two, the Eixample Dreta (right side) and Eixample Esquerra (left side), this divide is marked by Passeig de 8 < 0.1%
 
Le Marais, it's the festive, fashion, artistic and gastronomic Paris. Located in the Heart of Paris, you will be few minutes walking distance from Beaubourg, the Cathédrale Notre-Dame de Paris and the Musée du Louvre. 8 < 0.1%
 
Quiet and safe 7 < 0.1%
 
Built during the city’s Golden Age, the three parallel canals are interconnected with streets filled with shopping, eating and drinking opportunities. The Canal Ring is made up of Herengracht, Keizersgracht and Prinsengracht. In a way, the Canal Ring forms a crossover from the more bustling Centre to the gentler outer neighbourhoods of Jordaan, Museum District and De Pijp. The Canal Ring includes the city’s two main nightlife and culture squares. Leidseplein features such legendary concert halls as Paradiso and Melkweg. Rembrandtplein has several bars, two large nightclubs (Escape and Air), and ‘old world’ evocative treasures such as De Kroon and Café Schiller. The whole area is dotted with Amsterdam's beloved neighbourhood ‘brown cafes'. 7 < 0.1%
 
We are Melbourne! 7 < 0.1%
 
Amsterdam Old South is the neighbourhood for culture and culinary delights. You don’t have to be a local in Amsterdam to know that Amsterdam Old South is one of the chicest neighbourhoods in town. The Amstelveenseweg is known for its great restaurants like Ron Gastrobar and Franklin Bar & Kitchen. If you want to go on a shopping spree in Amsterdam Old South our top-pick streets are the Van Baerlestraat and Jacob Obrechtstraat. Smaller boutiques and a lot of specialty stores! 7 < 0.1%
 
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(Missing) 22457 40.8%
 

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Missing16867
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Memory size3.3 MiB
Oud-West
 
437
Montmartre
 
380
Williamsburg
 
339
République
 
301
Buttes-Chaumont - Belleville
 
290
Other values (1881)
36386
ValueCountFrequency (%) 
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Montmartre 380 0.7%
 
Williamsburg 339 0.6%
 
République 301 0.5%
 
Buttes-Chaumont - Belleville 290 0.5%
 
Nørrebro 259 0.5%
 
XI Arrondissement 249 0.5%
 
Prati 245 0.4%
 
Alésia 235 0.4%
 
Bastille 231 0.4%
 
Other values (1876) 35167 63.9%
 
(Missing) 16867 30.7%
 

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Missing0
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Memory size3.3 MiB
I Centro Storico
 
1242
Buttes-Montmartre
 
803
Popincourt
 
783
Sydney
 
647
Tower Hamlets
 
600
Other values (1927)
50925
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Buttes-Montmartre 803 1.5%
 
Popincourt 783 1.4%
 
Sydney 647 1.2%
 
Tower Hamlets 600 1.1%
 
Westminster 573 1.0%
 
De Baarsjes - Oud-West 565 1.0%
 
Hackney 540 1.0%
 
Dublin City 523 1.0%
 
Waverley 472 0.9%
 
Other values (1922) 48252 87.7%
 

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Brooklyn
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1058
Centro
 
726
Ciutat Vella
 
689
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5390
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Eixample 1058 1.9%
 
Centro 726 1.3%
 
Ciutat Vella 689 1.3%
 
Isole 528 1.0%
 
Queens 413 0.8%
 
Mitte 378 0.7%
 
Sants-Montjuïc 361 0.7%
 
Friedrichshain-Kreuzberg 349 0.6%
 
Other values (57) 3361 6.1%
 
(Missing) 43569 79.2%
 

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Normal check-in and check-out times: Check-out 11:00 am. Check-in before 21:00 pm. Check in after 21:00 is possible but it costs an additional of 20,- euro. After 0:00, we ask an additional 50 euro. For other in- and check-out times please contact me.
 
27
Check-in: 4 pm Check-out: 10 am Very late check-in (from 24 pm) has an extra cost of 50 €
 
23
.
 
22
(PHONE NUMBER HIDDEN)
 
20
Guests we look for: - Respectful of neighbours (keep level of noise down) - Non-smokers (or smokers that smoke outside) - Above 30 when in a group - Any age if staying as a couple At time of departure: make sure the apartment is tidy, the dishes are done, the garbage is bagged and the oven, hob and fridge/freezer are clean. All keys must be returned upon departure. Failure to do so will incur a replacement fee. Guests must immediately inform the host of all defects in the apartment and damages that occur in the apartment.
 
19
Other values (20722)
21867
ValueCountFrequency (%) 
Normal check-in and check-out times: Check-out 11:00 am. Check-in before 21:00 pm. Check in after 21:00 is possible but it costs an additional of 20,- euro. After 0:00, we ask an additional 50 euro. For other in- and check-out times please contact me. 27 < 0.1%
 
Check-in: 4 pm Check-out: 10 am Very late check-in (from 24 pm) has an extra cost of 50 € 23 < 0.1%
 
. 22 < 0.1%
 
(PHONE NUMBER HIDDEN) 20 < 0.1%
 
Guests we look for: - Respectful of neighbours (keep level of noise down) - Non-smokers (or smokers that smoke outside) - Above 30 when in a group - Any age if staying as a couple At time of departure: make sure the apartment is tidy, the dishes are done, the garbage is bagged and the oven, hob and fridge/freezer are clean. All keys must be returned upon departure. Failure to do so will incur a replacement fee. Guests must immediately inform the host of all defects in the apartment and damages that occur in the apartment. 19 < 0.1%
 
STR-(PHONE NUMBER HIDDEN) 17 < 0.1%
 
Freshly made up beds with the finest quality linen & towels (1 per person) will be waiting for you upon arrival. We want to welcome you into a clean and cosy home! 17 < 0.1%
 
All of our rentals are fully licensed and regulated, and maintaining excellent relationships with our building managers is our top priority. We furnish all of our properties to a uniform standard, but individual units may differ slightly from the pictures shown. 16 < 0.1%
 
Additional fees If your check-in or check-out is outside of busyness hours the following fees will be charged check-in after 1800 hours: 20,- euros check-in after 2200 hours: 40,- euros check-in after 2400 hours: 80,- euros (on request only) Check-out before 0900: 30,- euros Check-out before 0800: 40,- euros Check-out before 0700: 80,- euros (on request only) Payment needs to be settled with your host at arrival or departure PS: this is not an extra rental charge. This will cover the extra cost for the host. 16 < 0.1%
 
"The lead guest will be required to sign an Occupation Agreement prior to arrival. Please note that the lead guest must be over 25 years old". Normal check in time is between 3 pm and 9 pm. All overtimes may incur an additional fee" No pets, parties or smoking please. 15 < 0.1%
 
Other values (20717) 21786 39.6%
 
(Missing) 33022 60.0%
 

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Mini histogram

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Descriptive statistics

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Coefficient of variation (CV)1.948318104
Kurtosis29.90360077
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Variance1127.797648
Histogram
Histogram with fixed size bins (bins=10)
Histogram
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ValueCountFrequency (%) 
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1 5441 9.9%
 
2 3795 6.9%
 
3 2867 5.2%
 
4 2225 4.0%
 
5 1884 3.4%
 
6 1623 3.0%
 
7 1375 2.5%
 
8 1205 2.2%
 
9 1068 1.9%
 
Other values (325) 20039 36.4%
 
ValueCountFrequency (%) 
0 13478 24.5%
 
1 5441 9.9%
 
2 3795 6.9%
 
3 2867 5.2%
 
4 2225 4.0%
 
ValueCountFrequency (%) 
735 1 < 0.1%
 
502 1 < 0.1%
 
483 1 < 0.1%
 
457 1 < 0.1%
 
453 1 < 0.1%
 
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54934
(Missing)
 
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(Missing) 61 0.1%
 
ValueCountFrequency (%) 
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(Missing) 61 0.1%
 
ValueCountFrequency (%) 
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ValueCountFrequency (%) 
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(Missing) 61 0.1%
 
ValueCountFrequency (%) 
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ValueCountFrequency (%) 
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Price
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Histogram
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50 1855 3.4%
 
60 1684 3.1%
 
80 1563 2.8%
 
150 1414 2.6%
 
70 1404 2.6%
 
75 1319 2.4%
 
40 1284 2.3%
 
45 1184 2.2%
 
90 1168 2.1%
 
Other values (742) 39469 71.8%
 
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8 1 < 0.1%
 
9 7 < 0.1%
 
10 40 0.1%
 
11 8 < 0.1%
 
ValueCountFrequency (%) 
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996 1 < 0.1%
 
995 7 < 0.1%
 
993 9 < 0.1%
 
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House
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Bed & Breakfast
 
1281
Condominium
 
1108
Townhouse
 
653
Other values (30)
 
2431
ValueCountFrequency (%) 
Apartment 39020 70.9%
 
House 10507 19.1%
 
Bed & Breakfast 1281 2.3%
 
Condominium 1108 2.0%
 
Townhouse 653 1.2%
 
Loft 650 1.2%
 
Other 362 0.7%
 
Villa 353 0.6%
 
Guesthouse 187 0.3%
 
Boat 145 0.3%
 
Other values (25) 734 1.3%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length18
Mean length8.283272727
Min length3
Scatter

Review_Scores_Accuracy
Real number (ℝ≥0)

MISSING
Distinct count10
Unique (%)< 0.1%
Missing14181
Missing (%)25.8%
Infinite0
Infinite (%)0.0%
Mean9.52595605
Minimum2.0
Maximum10.0
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8528808772
Coefficient of variation (CV)0.08953231285
Kurtosis16.79731665
Mean9.52595605
Median Absolute Deviation (MAD)0.6266313104
Skewness-3.196639076
Sum388840
Variance0.7274057907
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10 26979 49.1%
 
9 10421 18.9%
 
8 2426 4.4%
 
7 428 0.8%
 
6 343 0.6%
 
4 96 0.2%
 
2 71 0.1%
 
5 54 0.1%
 
3 1 < 0.1%
 
(Missing) 14181 25.8%
 
ValueCountFrequency (%) 
2 71 0.1%
 
3 1 < 0.1%
 
4 96 0.2%
 
5 54 0.1%
 
6 343 0.6%
 
ValueCountFrequency (%) 
10 26979 49.1%
 
9 10421 18.9%
 
8 2426 4.4%
 
7 428 0.8%
 
6 343 0.6%
 

Review_Scores_Checkin
Real number (ℝ≥0)

MISSING
Distinct count10
Unique (%)< 0.1%
Missing14227
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean9.687881686
Minimum2.0
Maximum10.0
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum2
5-th percentile8
Q110
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.730177772
Coefficient of variation (CV)0.07537021979
Kurtosis29.20266572
Mean9.687881686
Median Absolute Deviation (MAD)0.4826339841
Skewness-4.2596138
Sum395004
Variance0.5331595787
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10 31524 57.3%
 
9 7150 13.0%
 
8 1490 2.7%
 
7 245 0.4%
 
6 218 0.4%
 
2 67 0.1%
 
4 52 0.1%
 
5 24 < 0.1%
 
3 3 < 0.1%
 
(Missing) 14227 25.9%
 
ValueCountFrequency (%) 
2 67 0.1%
 
3 3 < 0.1%
 
4 52 0.1%
 
5 24 < 0.1%
 
6 218 0.4%
 
ValueCountFrequency (%) 
10 31524 57.3%
 
9 7150 13.0%
 
8 1490 2.7%
 
7 245 0.4%
 
6 218 0.4%
 

Review_Scores_Cleanliness
Real number (ℝ≥0)

MISSING
Distinct count10
Unique (%)< 0.1%
Missing14148
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean9.315847449
Minimum2.0
Maximum10.0
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum2
5-th percentile7
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.049083295
Coefficient of variation (CV)0.1126127602
Kurtosis10.00892016
Mean9.315847449
Median Absolute Deviation (MAD)0.7722757936
Skewness-2.554387763
Sum380571
Variance1.10057576
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10 23057 41.9%
 
9 11721 21.3%
 
8 4010 7.3%
 
7 978 1.8%
 
6 688 1.3%
 
4 169 0.3%
 
2 115 0.2%
 
5 105 0.2%
 
3 9 < 0.1%
 
(Missing) 14148 25.7%
 
ValueCountFrequency (%) 
2 115 0.2%
 
3 9 < 0.1%
 
4 169 0.3%
 
5 105 0.2%
 
6 688 1.3%
 
ValueCountFrequency (%) 
10 23057 41.9%
 
9 11721 21.3%
 
8 4010 7.3%
 
7 978 1.8%
 
6 688 1.3%
 

Review_Scores_Communication
Real number (ℝ≥0)

MISSING
Distinct count10
Unique (%)< 0.1%
Missing14165
Missing (%)25.8%
Infinite0
Infinite (%)0.0%
Mean9.705644668
Minimum2.0
Maximum10.0
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum2
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7219277162
Coefficient of variation (CV)0.07438225289
Kurtosis30.59203058
Mean9.705644668
Median Absolute Deviation (MAD)0.4643800472
Skewness-4.409447981
Sum396330
Variance0.5211796274
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10 32211 58.6%
 
9 6610 12.0%
 
8 1400 2.5%
 
7 249 0.5%
 
6 216 0.4%
 
2 65 0.1%
 
4 55 0.1%
 
5 27 < 0.1%
 
3 2 < 0.1%
 
(Missing) 14165 25.8%
 
ValueCountFrequency (%) 
2 65 0.1%
 
3 2 < 0.1%
 
4 55 0.1%
 
5 27 < 0.1%
 
6 216 0.4%
 
ValueCountFrequency (%) 
10 32211 58.6%
 
9 6610 12.0%
 
8 1400 2.5%
 
7 249 0.5%
 
6 216 0.4%
 

Review_Scores_Location
Real number (ℝ≥0)

MISSING
Distinct count10
Unique (%)< 0.1%
Missing14222
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean9.468389818
Minimum2.0
Maximum10.0
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum2
5-th percentile8
Q19
median10
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7972436157
Coefficient of variation (CV)0.08420054846
Kurtosis9.520625961
Mean9.468389818
Median Absolute Deviation (MAD)0.6389021482
Skewness-2.268499293
Sum386102
Variance0.6355973827
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10 24504 44.6%
 
9 12306 22.4%
 
8 3160 5.7%
 
7 399 0.7%
 
6 311 0.6%
 
4 45 0.1%
 
5 27 < 0.1%
 
2 24 < 0.1%
 
3 2 < 0.1%
 
(Missing) 14222 25.9%
 
ValueCountFrequency (%) 
2 24 < 0.1%
 
3 2 < 0.1%
 
4 45 0.1%
 
5 27 < 0.1%
 
6 311 0.6%
 
ValueCountFrequency (%) 
10 24504 44.6%
 
9 12306 22.4%
 
8 3160 5.7%
 
7 399 0.7%
 
6 311 0.6%
 

Review_Scores_Rating
Real number (ℝ≥0)

MISSING
Distinct count58
Unique (%)0.1%
Missing14076
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean92.84263513
Minimum20.0
Maximum100.0
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum20
5-th percentile80
Q190
median95
Q3100
95-th percentile100
Maximum100
Range80
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.503632762
Coefficient of variation (CV)0.09159189365
Kurtosis13.60868245
Mean92.84263513
Median Absolute Deviation (MAD)5.891412482
Skewness-2.766697786
Sum3799492
Variance72.31177016
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
100 10276 18.7%
 
93 2771 5.0%
 
96 2731 5.0%
 
95 2626 4.8%
 
90 2520 4.6%
 
97 2508 4.6%
 
98 2402 4.4%
 
80 2182 4.0%
 
94 1866 3.4%
 
92 1601 2.9%
 
Other values (47) 9441 17.2%
 
(Missing) 14076 25.6%
 
ValueCountFrequency (%) 
20 63 0.1%
 
30 4 < 0.1%
 
31 1 < 0.1%
 
35 1 < 0.1%
 
40 91 0.2%
 
ValueCountFrequency (%) 
100 10276 18.7%
 
99 1186 2.2%
 
98 2402 4.4%
 
97 2508 4.6%
 
96 2731 5.0%
 

Review_Scores_Value
Real number (ℝ≥0)

MISSING
Distinct count10
Unique (%)< 0.1%
Missing14234
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean9.311705833
Minimum2.0
Maximum10.0
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum2
5-th percentile8
Q19
median9
Q310
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9055229909
Coefficient of variation (CV)0.09724566123
Kurtosis11.67327247
Mean9.311705833
Median Absolute Deviation (MAD)0.6802236027
Skewness-2.484218132
Sum379601
Variance0.8199718871
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10 20144 36.6%
 
9 15711 28.6%
 
8 3655 6.6%
 
7 543 1.0%
 
6 482 0.9%
 
4 97 0.2%
 
2 73 0.1%
 
5 56 0.1%
 
3 5 < 0.1%
 
(Missing) 14234 25.9%
 
ValueCountFrequency (%) 
2 73 0.1%
 
3 5 < 0.1%
 
4 97 0.2%
 
5 56 0.1%
 
6 482 0.9%
 
ValueCountFrequency (%) 
10 20144 36.6%
 
9 15711 28.6%
 
8 3655 6.6%
 
7 543 1.0%
 
6 482 0.9%
 

Reviews_per_Month
Real number (ℝ≥0)

MISSING
Distinct count973
Unique (%)1.8%
Missing13500
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean1.500886747
Minimum0.01
Maximum125.92
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum0.01
5-th percentile0.09
Q10.32
median0.89
Q32.06
95-th percentile5
Maximum125.92
Range125.91
Interquartile range (IQR)1.74

Descriptive statistics

Standard deviation1.837309007
Coefficient of variation (CV)1.224148998
Kurtosis619.6829133
Mean1.500886747
Median Absolute Deviation (MAD)1.244212246
Skewness11.50905257
Sum62286.8
Variance3.375704387
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 980 1.8%
 
0.1 488 0.9%
 
0.09 477 0.9%
 
2 450 0.8%
 
0.05 444 0.8%
 
0.11 443 0.8%
 
0.13 415 0.8%
 
0.06 402 0.7%
 
0.18 401 0.7%
 
0.15 382 0.7%
 
Other values (962) 36618 66.6%
 
(Missing) 13500 24.5%
 
ValueCountFrequency (%) 
0.01 5 < 0.1%
 
0.02 61 0.1%
 
0.03 158 0.3%
 
0.04 268 0.5%
 
0.05 444 0.8%
 
ValueCountFrequency (%) 
125.92 1 < 0.1%
 
86.04 1 < 0.1%
 
26.17 1 < 0.1%
 
24.73 1 < 0.1%
 
21.35 1 < 0.1%
 

Room_Type
Categorical

Distinct count3
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.3 MiB
Entire home/apt
35127
Private room
18870
Shared room
 
1003
ValueCountFrequency (%) 
Entire home/apt 35127 63.9%
 
Private room 18870 34.3%
 
Shared room 1003 1.8%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length15
Mean length13.89778182
Min length11
Scatter

Scrape_ID
Real number (ℝ≥0)

Distinct count42
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.016940438e+13
Minimum20151011232639
Maximum20170615002708
Zeros0
Zeros (%)0.0%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum2.015101123e+13
5-th percentile2.01607062e+13
Q12.01703062e+13
median2.017040415e+13
Q32.017050217e+13
95-th percentile2.017060308e+13
Maximum2.0170615e+13
Range1.960377007e+10
Interquartile range (IQR)195969925

Descriptive statistics

Standard deviation3151723079
Coefficient of variation (CV)0.0001562625757
Kurtosis8.376669797
Mean2.016940438e+13
Median Absolute Deviation (MAD)1848566388
Skewness-2.991336564
Sum1.109317241e+18
Variance9.933358367e+18
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[2.01510112e+13 2.01510131e+13 2.01555595e+13 2.01602526e+13 2.01604571e+13 ... 2.01705111e+13 2.01705571e+13 2.01706026e+13 2.01706090e+13 2.01706150e+13], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
2.017040415e+13 6011 10.9%
 
2.017030407e+13 5780 10.5%
 
2.017050213e+13 4065 7.4%
 
2.017050217e+13 3401 6.2%
 
2.017040721e+13 3150 5.7%
 
2.017040208e+13 3128 5.7%
 
2.017040311e+13 2623 4.8%
 
2.017050816e+13 2606 4.7%
 
2.01703062e+13 1864 3.4%
 
2.017050722e+13 1766 3.2%
 
Other values (32) 20606 37.5%
 
ValueCountFrequency (%) 
2.015101123e+13 178 0.3%
 
2.0151015e+13 88 0.2%
 
2.0160104e+13 411 0.7%
 
2.016040121e+13 231 0.4%
 
2.016041016e+13 100 0.2%
 
ValueCountFrequency (%) 
2.0170615e+13 1585 2.9%
 
2.017060308e+13 1321 2.4%
 
2.01706021e+13 514 0.9%
 
2.017051211e+13 267 0.5%
 
2.017051018e+13 788 1.4%
 

Security_Deposit
Real number (ℝ≥0)

MISSING
Distinct count337
Unique (%)0.6%
Missing31857
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean269.4072074
Minimum0.0
Maximum999.0
Zeros99
Zeros (%)0.2%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile100
Q1150
median200
Q3350
95-th percentile500
Maximum999
Range999
Interquartile range (IQR)200

Descriptive statistics

Standard deviation167.0184597
Coefficient of variation (CV)0.619948001
Kurtosis1.253207581
Mean269.4072074
Median Absolute Deviation (MAD)131.9252189
Skewness1.190133619
Sum6234891
Variance27895.16587
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
200 3938 7.2%
 
100 3714 6.8%
 
300 2978 5.4%
 
500 2953 5.4%
 
150 2544 4.6%
 
250 2049 3.7%
 
400 978 1.8%
 
350 536 1.0%
 
600 289 0.5%
 
800 232 0.4%
 
Other values (326) 2932 5.3%
 
(Missing) 31857 57.9%
 
ValueCountFrequency (%) 
0 99 0.2%
 
60 7 < 0.1%
 
61 2 < 0.1%
 
62 1 < 0.1%
 
63 3 < 0.1%
 
ValueCountFrequency (%) 
999 8 < 0.1%
 
995 2 < 0.1%
 
993 1 < 0.1%
 
990 2 < 0.1%
 
989 1 < 0.1%
 

Smart_Location
Categorical

HIGH CARDINALITY
Distinct count2045
Unique (%)3.7%
Missing0
Missing (%)0.0%
Memory size3.3 MiB
Paris, France
 
5798
London, United Kingdom
 
5093
Barcelona, Spain
 
3112
Amsterdam, Netherlands
 
3059
Los Angeles, CA
 
2091
Other values (2040)
35847
ValueCountFrequency (%) 
Paris, France 5798 10.5%
 
London, United Kingdom 5093 9.3%
 
Barcelona, Spain 3112 5.7%
 
Amsterdam, Netherlands 3059 5.6%
 
Los Angeles, CA 2091 3.8%
 
New York, NY 2079 3.8%
 
Roma, Italy 1935 3.5%
 
Austin, TX 1844 3.4%
 
Berlin, Germany 1746 3.2%
 
Brooklyn, NY 1441 2.6%
 
Other values (2035) 26802 48.7%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length113
Mean length16.11094545
Min length2
Scatter

Space
Categorical

MISSING
HIGH CARDINALITY
Distinct count38324
Unique (%)69.7%
Missing16278
Missing (%)29.6%
Memory size3.3 MiB
This gorgeous apartment is excellently designed with your comfort in mind. A warm inviting living space features chic wooden flooring throughout and deliciously contemporary furniture. An elegant dining table and chairs enable you to make mealtimes comfortable and it’s of course the perfect time to plan tomorrow’s adventures in town together. Prepare favourite recipes from home or why not try a little Dutch cooking with local spices from the nearby convenience stores and supermarkets. The fantastic fitted kitchen is packed with all the equipment you need to create something delicious. The pretty bedroom is stylishly presented and features unfussy earth tones to encourage restful sleep and there is ample storage for your belongings. The apartment also features a private bathroom fitted with a sink, shower and toilet.
 
26
Every booking is instantly confirmed. Every call or message is answered within minutes. Every home is equipped with crisp linens, high-speed Wi-Fi, and kitchen and bath essentials—everything you need for an exceptional stay.
 
15
Discovery Melbourne is a large backpacker hostel located in the CBD and is very close to Queen Victoria Market, Bourke Street, the Yarra River and Federation Square
 
7
We are like a European Hostel. Not all rooms are shared but you Check in at the front desk, which is open 24 hours. Check in time is 3pm and check out is (URL HIDDEN) Number: (PHONE NUMBER HIDDEN)
 
6
The rates include breakfast. Free safety lockers in every room (laptop size).
 
6
Other values (38318)
38662
ValueCountFrequency (%) 
This gorgeous apartment is excellently designed with your comfort in mind. A warm inviting living space features chic wooden flooring throughout and deliciously contemporary furniture. An elegant dining table and chairs enable you to make mealtimes comfortable and it’s of course the perfect time to plan tomorrow’s adventures in town together. Prepare favourite recipes from home or why not try a little Dutch cooking with local spices from the nearby convenience stores and supermarkets. The fantastic fitted kitchen is packed with all the equipment you need to create something delicious. The pretty bedroom is stylishly presented and features unfussy earth tones to encourage restful sleep and there is ample storage for your belongings. The apartment also features a private bathroom fitted with a sink, shower and toilet. 26 < 0.1%
 
Every booking is instantly confirmed. Every call or message is answered within minutes. Every home is equipped with crisp linens, high-speed Wi-Fi, and kitchen and bath essentials—everything you need for an exceptional stay. 15 < 0.1%
 
Discovery Melbourne is a large backpacker hostel located in the CBD and is very close to Queen Victoria Market, Bourke Street, the Yarra River and Federation Square 7 < 0.1%
 
We are like a European Hostel. Not all rooms are shared but you Check in at the front desk, which is open 24 hours. Check in time is 3pm and check out is (URL HIDDEN) Number: (PHONE NUMBER HIDDEN) 6 < 0.1%
 
The rates include breakfast. Free safety lockers in every room (laptop size). 6 < 0.1%
 
. 5 < 0.1%
 
We are a small boutique hotel with a warm staff. We looking forward to catering people who are interested in exploring this city at a reasonable price. We understand that this can be an expensive city to visit, however, that is why we try our very best to maintain great service while charging a lower price in comparison to our counterparts. We look forward to serving all our guest with warm hospitality. 5 < 0.1%
 
The apartment is a self-contained single room studio flat (13 sq. metres) fully equipped with all your desired needs! There is small desk space with an office chair, and its own personal WiFi router is provided. A double wardrobe containing plenty of hanging and storage space. Fully functional kitchen complete with a hob, microwave, toaster and kettle; alongside all cookware and utensils and its own fridge freezer. Its own private bathroom (pod), small but has everything you need. * Fully supplied with all bedding and towels * Complementary tea and coffee, and travel sized toiletries * Hairdryer can be found inside wardrobe for use The building benefits from a day and night concierge (excluding Sundays), an onsite gym and a communal area with flat screen TV with full Virgin Media package, Wi-Fi, comfortable sofas and a pool table to relax and enjoy! There is a laundry room in the basement of the building complete with ironing facilities and a coin operated washing machine and dryer. 5 < 0.1%
 
• Check in time is 2:00 pm. Please read the following rules before proceeding with the reservation: - Smoking is forbidden inside the apartment. Failure to comply with this rule will result in an economic penalty of € 50. - We take very seriously the coexistence with the neighbors, reason why it is forbidden to make any noise that can disturb them, especially from 21:00. - Making parties inside the apartment is strictly prohibited. - It is not allowed to invite people not included in the reservation to sleep. - At the end of the stay, the tenant agrees to leave the kitchen utensils clean (dishes, glasses, pans, cutlery). - In case at check-in after 20:00, you must notify me in time (minimum 24 hours) and have a supplement of 15 €. In case you do not notify me about your late arrival, I will take the right to accommodate you the next day. Friends, let's respect each other and our time) - Possible cleaning service during the stay: € 10 per day - I do not have a guard service When leaving 4 < 0.1%
 
Perfectly designed. Expertly finished and furnished to very high specifications. A spacious and modern layout apartment, comprises of well equipped kitchen,large combined living/dining area, large bedroom, bathroom and close to all amenities. Centrally located, within walking distance to City. 4 < 0.1%
 
Other values (38313) 38639 70.3%
 
(Missing) 16278 29.6%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length363.5244
Min length1
Scatter

Square_Feet
Real number (ℝ≥0)

MISSING
Distinct count239
Unique (%)0.4%
Missing53583
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean561.8962597
Minimum0.0
Maximum6997.0
Zeros452
Zeros (%)0.8%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q10
median409
Q3807
95-th percentile1830
Maximum6997
Range6997
Interquartile range (IQR)807

Descriptive statistics

Standard deviation717.3889862
Coefficient of variation (CV)1.276728531
Kurtosis13.29899449
Mean561.8962597
Median Absolute Deviation (MAD)500.0737272
Skewness2.774240239
Sum796207
Variance514646.9575
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 452 0.8%
 
646 39 0.1%
 
431 35 0.1%
 
753 29 0.1%
 
1076 27 < 0.1%
 
538 27 < 0.1%
 
700 25 < 0.1%
 
592 22 < 0.1%
 
861 22 < 0.1%
 
323 21 < 0.1%
 
Other values (228) 718 1.3%
 
(Missing) 53583 97.4%
 
ValueCountFrequency (%) 
0 452 0.8%
 
1 3 < 0.1%
 
2 1 < 0.1%
 
3 1 < 0.1%
 
7 1 < 0.1%
 
ValueCountFrequency (%) 
6997 1 < 0.1%
 
6000 1 < 0.1%
 
5000 2 < 0.1%
 
4736 2 < 0.1%
 
4639 1 < 0.1%
 

State
Categorical

MISSING
HIGH CARDINALITY
Distinct count515
Unique (%)0.9%
Missing5307
Missing (%)9.6%
Memory size3.3 MiB
Île-de-France
5876
CA
 
5330
NY
 
4064
NSW
 
2679
Lazio
 
2545
Other values (509)
29199
ValueCountFrequency (%) 
Île-de-France 5876 10.7%
 
CA 5330 9.7%
 
NY 4064 7.4%
 
NSW 2679 4.9%
 
Lazio 2545 4.6%
 
England 2313 4.2%
 
Noord-Holland 2229 4.1%
 
Catalunya 1922 3.5%
 
TX 1864 3.4%
 
Berlin 1752 3.2%
 
Other values (504) 19119 34.8%
 
(Missing) 5307 9.6%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length36
Mean length6.398345455
Min length1
Scatter

Street
Categorical

HIGH CARDINALITY
Distinct count22001
Unique (%)40.0%
Missing0
Missing (%)0.0%
Memory size3.3 MiB
Montmartre, Paris, Île-de-France 75018, France
 
364
XI Arrondissement, Paris, Île-de-France 75011, France
 
228
Alésia, Paris, Île-de-France 75014, France
 
223
Batignolles, Paris, Île-de-France 75017, France
 
212
République, Paris, Île-de-France 75011, France
 
212
Other values (21996)
53761
ValueCountFrequency (%) 
Montmartre, Paris, Île-de-France 75018, France 364 0.7%
 
XI Arrondissement, Paris, Île-de-France 75011, France 228 0.4%
 
Alésia, Paris, Île-de-France 75014, France 223 0.4%
 
Batignolles, Paris, Île-de-France 75017, France 212 0.4%
 
République, Paris, Île-de-France 75011, France 212 0.4%
 
Williamsburg, Brooklyn, NY 11211, United States 192 0.3%
 
Nørrebro, København, 2200, Denmark 184 0.3%
 
Bastille, Paris, Île-de-France 75011, France 179 0.3%
 
Buttes-Chaumont - Belleville, Paris, Île-de-France 75019, France 173 0.3%
 
Père Lachaise - Ménilmontant, Paris, Île-de-France 75020, France 170 0.3%
 
Other values (21991) 52863 96.1%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length161
Mean length44.71478182
Min length9
Scatter

Summary
Categorical

MISSING
HIGH CARDINALITY
Distinct count52505
Unique (%)95.5%
Missing1853
Missing (%)3.4%
Memory size3.3 MiB
My place is good for couples, solo adventurers, and business travelers.
 
24
**brand new** Sleeping up to 2 guests in luxury surroundings, this fantastic holiday home makes the perfect choice for your stay in Amsterdam!
 
23
My place is good for couples, solo adventurers, and business travellers.
 
18
.
 
14
Unique apartment in vibrant neighborhoods, carefully selected by expert to make sure you like them as much as we do. A local concierge will welcome you and guide you during your entire stay to assist you in everything you may need.
 
13
Other values (52499)
53055
ValueCountFrequency (%) 
My place is good for couples, solo adventurers, and business travelers. 24 < 0.1%
 
**brand new** Sleeping up to 2 guests in luxury surroundings, this fantastic holiday home makes the perfect choice for your stay in Amsterdam! 23 < 0.1%
 
My place is good for couples, solo adventurers, and business travellers. 18 < 0.1%
 
. 14 < 0.1%
 
Unique apartment in vibrant neighborhoods, carefully selected by expert to make sure you like them as much as we do. A local concierge will welcome you and guide you during your entire stay to assist you in everything you may need. 13 < 0.1%
 
Mon logement est parfait pour les couples, les voyageurs en solo et les voyageurs d'affaires. 13 < 0.1%
 
My place is good for couples, solo adventurers, business travelers, families (with kids), and big groups. 10 < 0.1%
 
My place is good for couples, solo adventurers, business travellers, and families (with kids). 10 < 0.1%
 
My place is good for solo adventurers. 8 < 0.1%
 
Il mio alloggio è adatto a coppie, avventurieri solitari, chi viaggia per lavoro e famiglie (con bambini). 7 < 0.1%
 
Other values (52494) 53007 96.4%
 
(Missing) 1853 3.4%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length271.5477455
Min length1
Scatter

Thumbnail_Url
URL

MISSING
Distinct count44409
Unique (%)80.7%
Missing10592
Missing (%)19.3%
Memory size3.3 MiB
https://a0.muscache.com/im/pictures/f5f181a5-324d-486a-a134-3cfdf33b98ef.jpg?aki_policy=small
 
1
https://a0.muscache.com/im/pictures/7611dc48-18a9-4590-a903-cc2ac52853eb.jpg?aki_policy=small
 
1
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1
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1
https://a0.muscache.com/im/pictures/3f723f87-69f2-4873-9893-96d3c4b5b2ec.jpg?aki_policy=small
 
1
Other values (44403)
44403
(Missing)
10592
ValueCountFrequency (%) 
https://a0.muscache.com/im/pictures/f5f181a5-324d-486a-a134-3cfdf33b98ef.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/7611dc48-18a9-4590-a903-cc2ac52853eb.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/95467194/e752230c_original.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/c05d6b41-d553-49b9-822c-b5bcd6d24022.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/3f723f87-69f2-4873-9893-96d3c4b5b2ec.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/bd519b5b-352a-4fd8-8002-ca0a462d9589.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/cab4f912-618f-4359-9395-a0a54cd346fc.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/89860704/9d8d3766_original.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/c7b8fb4f-8aba-4a8c-be3a-9485bbaea29e.jpg?aki_policy=small 1 < 0.1%
 
https://a0.muscache.com/im/pictures/97088052/82145a4a_original.jpg?aki_policy=small 1 < 0.1%
 
Other values (44398) 44398 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
https 44408 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
a0.muscache.com 40480 73.6%
 
a2.muscache.com 3094 5.6%
 
a1.muscache.com 834 1.5%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
/im/pictures/12325070/a11be23a_original.jpg 1 < 0.1%
 
/im/pictures/658941aa-5d44-42b7-864a-8fbe375c906f.jpg 1 < 0.1%
 
/im/pictures/56987882/4d98476c_original.jpg 1 < 0.1%
 
/im/pictures/813b84f0-60aa-4e5f-8b20-66b44e892d2c.jpg 1 < 0.1%
 
/im/pictures/63083558/6b05f102_original.jpg 1 < 0.1%
 
/im/pictures/34866746/b2d015ad_original.jpg 1 < 0.1%
 
/im/pictures/2749391/b3ac56cc_original.jpg 1 < 0.1%
 
/im/pictures/b1c4ef11-b3b0-439f-9621-657f386f3c5e.jpg 1 < 0.1%
 
/im/pictures/8704930/643a0374_original.jpg 1 < 0.1%
 
/im/pictures/a8c903df-be3d-4912-b122-47f09f8c96be.jpg 1 < 0.1%
 
Other values (44398) 44398 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
aki_policy=small 43761 79.6%
 
interpolation=lanczos-none&size=small&output-format=jpg&output-quality=70 647 1.2%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
44408 80.7%
 
(Missing) 10592 19.3%
 

Transit
Categorical

MISSING
HIGH CARDINALITY
Distinct count32971
Unique (%)59.9%
Missing21214
Missing (%)38.6%
Memory size3.3 MiB
Ideal to discover the city either on foot or by public transport.
 
20
Yes
 
20
Convenient public transportation. The locations of our properties are ideal for guests who prefer to travel without a car.
 
15
Monastiraki metro station is 3 minutes away. Direct link to the airport and to the main port. We can also assist you by organising private transport with one of our reliable drivers. We work with taxi as well as minivan drivers (taxis carry up to 4 passengers) who will wait for you in the arrivals hall, no matter how long you may be delayed, and bring you straight to the apartment. Guest services will discuss further after a booking is confirmed!
 
7
Downtown Austin has easy access to pedicabs, rental bikes, Fasten, Fare, and more. With everything so conveniently located you can get almost everything you need on foot, too!
 
7
Other values (32965)
33717
ValueCountFrequency (%) 
Ideal to discover the city either on foot or by public transport. 20 < 0.1%
 
Yes 20 < 0.1%
 
Convenient public transportation. The locations of our properties are ideal for guests who prefer to travel without a car. 15 < 0.1%
 
Monastiraki metro station is 3 minutes away. Direct link to the airport and to the main port. We can also assist you by organising private transport with one of our reliable drivers. We work with taxi as well as minivan drivers (taxis carry up to 4 passengers) who will wait for you in the arrivals hall, no matter how long you may be delayed, and bring you straight to the apartment. Guest services will discuss further after a booking is confirmed! 7 < 0.1%
 
Downtown Austin has easy access to pedicabs, rental bikes, Fasten, Fare, and more. With everything so conveniently located you can get almost everything you need on foot, too! 7 < 0.1%
 
Close to trams, trains and buses. On your doorstep 7 < 0.1%
 
. 7 < 0.1%
 
There are buses and Bart either next to or a block from the hotel. 6 < 0.1%
 
Public transport is just a few steps away. Parking garages 3 minute drive 6 < 0.1%
 
yes 6 < 0.1%
 
Other values (32960) 33685 61.2%
 
(Missing) 21214 38.6%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length162.4192364
Min length1
Scatter

Weekly_Price
Real number (ℝ≥0)

MISSING
HIGH CORRELATION
Distinct count657
Unique (%)1.2%
Missing44072
Missing (%)80.1%
Infinite0
Infinite (%)0.0%
Mean494.693265
Minimum0.0
Maximum999.0
Zeros1
Zeros (%)< 0.1%
Memory size3.3 MiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile180
Q1320
median476
Q3650
95-th percentile900
Maximum999
Range999
Interquartile range (IQR)330

Descriptive statistics

Standard deviation217.5119263
Coefficient of variation (CV)0.4396904944
Kurtosis-0.7448035661
Mean494.693265
Median Absolute Deviation (MAD)180.9088775
Skewness0.3391283492
Sum5406008
Variance47311.43807
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
500 576 1.0%
 
600 549 1.0%
 
400 496 0.9%
 
300 452 0.8%
 
700 405 0.7%
 
450 401 0.7%
 
350 384 0.7%
 
250 307 0.6%
 
800 290 0.5%
 
650 287 0.5%
 
Other values (646) 6781 12.3%
 
(Missing) 44072 80.1%
 
ValueCountFrequency (%) 
0 1 < 0.1%
 
21 1 < 0.1%
 
46 1 < 0.1%
 
70 2 < 0.1%
 
75 1 < 0.1%
 
ValueCountFrequency (%) 
999 21 < 0.1%
 
998 1 < 0.1%
 
996 2 < 0.1%
 
995 20 < 0.1%
 
994 1 < 0.1%
 

XL_Picture_Url
URL

MISSING
Distinct count44409
Unique (%)80.7%
Missing10592
Missing (%)19.3%
Memory size3.3 MiB
https://a2.muscache.com/im/pictures/d5d2796d-2e82-4a5e-82cc-27f70714bb7e.jpg?aki_policy=x_large
 
1
https://a0.muscache.com/im/pictures/56358091/4850dd93_original.jpg?aki_policy=x_large
 
1
https://a2.muscache.com/im/pictures/b6beb619-ee66-4d3a-9bff-a22ac13a1679.jpg?aki_policy=x_large
 
1
https://a0.muscache.com/im/pictures/98344530-c4d2-47dc-b75d-c6d464ca05ae.jpg?aki_policy=x_large
 
1
https://a0.muscache.com/im/pictures/f0be40d9-2d79-4c31-8c29-343b570a75f1.jpg?aki_policy=x_large
 
1
Other values (44403)
44403
(Missing)
10592
ValueCountFrequency (%) 
https://a2.muscache.com/im/pictures/d5d2796d-2e82-4a5e-82cc-27f70714bb7e.jpg?aki_policy=x_large 1 < 0.1%
 
https://a0.muscache.com/im/pictures/56358091/4850dd93_original.jpg?aki_policy=x_large 1 < 0.1%
 
https://a2.muscache.com/im/pictures/b6beb619-ee66-4d3a-9bff-a22ac13a1679.jpg?aki_policy=x_large 1 < 0.1%
 
https://a0.muscache.com/im/pictures/98344530-c4d2-47dc-b75d-c6d464ca05ae.jpg?aki_policy=x_large 1 < 0.1%
 
https://a0.muscache.com/im/pictures/f0be40d9-2d79-4c31-8c29-343b570a75f1.jpg?aki_policy=x_large 1 < 0.1%
 
https://a0.muscache.com/im/pictures/a4322298-d93c-48d7-acf2-ca7b27f27e84.jpg?aki_policy=x_large 1 < 0.1%
 
https://a0.muscache.com/im/pictures/8fa9aa32-8e8a-4a25-8f1c-001307eb11cb.jpg?aki_policy=x_large 1 < 0.1%
 
https://a0.muscache.com/im/pictures/78f8a31b-a0a3-472e-b8d4-97e48384346f.jpg?aki_policy=x_large 1 < 0.1%
 
https://a0.muscache.com/im/pictures/7bbcf4a9-ab63-4f00-ad09-cb53f31b7f7c.jpg?aki_policy=x_large 1 < 0.1%
 
https://a0.muscache.com/im/pictures/143f4e9a-2944-4fe9-a781-dea8871d4ab6.jpg?aki_policy=x_large 1 < 0.1%
 
Other values (44398) 44398 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
https 44408 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
a0.muscache.com 40480 73.6%
 
a2.muscache.com 3094 5.6%
 
a1.muscache.com 834 1.5%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
/im/pictures/12325070/a11be23a_original.jpg 1 < 0.1%
 
/im/pictures/658941aa-5d44-42b7-864a-8fbe375c906f.jpg 1 < 0.1%
 
/im/pictures/56987882/4d98476c_original.jpg 1 < 0.1%
 
/im/pictures/813b84f0-60aa-4e5f-8b20-66b44e892d2c.jpg 1 < 0.1%
 
/im/pictures/63083558/6b05f102_original.jpg 1 < 0.1%
 
/im/pictures/34866746/b2d015ad_original.jpg 1 < 0.1%
 
/im/pictures/2749391/b3ac56cc_original.jpg 1 < 0.1%
 
/im/pictures/b1c4ef11-b3b0-439f-9621-657f386f3c5e.jpg 1 < 0.1%
 
/im/pictures/8704930/643a0374_original.jpg 1 < 0.1%
 
/im/pictures/a8c903df-be3d-4912-b122-47f09f8c96be.jpg 1 < 0.1%
 
Other values (44398) 44398 80.7%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
aki_policy=x_large 43761 79.6%
 
interpolation=lanczos-none&size=x_large_cover&output-format=jpg&output-quality=70 647 1.2%
 
(Missing) 10592 19.3%
 
ValueCountFrequency (%) 
44408 80.7%
 
(Missing) 10592 19.3%
 

Zipcode
Categorical

MISSING
HIGH CARDINALITY
Distinct count11392
Unique (%)20.7%
Missing2127
Missing (%)3.9%
Memory size3.3 MiB
75018
 
788
75011
 
749
75020
 
431
75017
 
389
78704
 
378
Other values (11386)
50138
ValueCountFrequency (%) 
75018 788 1.4%
 
75011 749 1.4%
 
75020 431 0.8%
 
75017 389 0.7%
 
78704 378 0.7%
 
2026 358 0.7%
 
2200 338 0.6%
 
75019 332 0.6%
 
75014 308 0.6%
 
75010 307 0.6%
 
Other values (11381) 48495 88.2%
 
(Missing) 2127 3.9%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length18
Mean length5.087345455
Min length1
Scatter

Correlations

Missing values

Sample

First rows

AccessAccommodatesAmenitiesAvailability_30Availability_365Availability_60Availability_90BathroomsBed_TypeBedroomsBedsCalculated_host_listings_countCalendar_last_ScrapedCalendar_UpdatedCancellation_PolicyCityCleaning_FeeCountryCountry_CodeDescriptionExperiences_OfferedExtra_PeopleFeaturesFirst_ReviewGeolocationGuests_IncludedHas_AvailabilityHost_AboutHost_Acceptance_RateHost_IDHost_Listings_CountHost_LocationHost_NameHost_NeighbourhoodHost_Picture_UrlHost_Response_RateHost_Response_TimeHost_SinceHost_Thumbnail_UrlHost_Total_Listings_CountHost_URLHost_VerificationsHouse_RulesIDInteractionJurisdiction_NamesLast_ReviewLast_ScrapedLatitudeLicenseListing_UrlLongitudeMarketMaximum_NightsMedium_UrlMinimum_NightsMonthly_PriceNameNeighborhood_OverviewNeighbourhoodNeighbourhood_CleansedNeighbourhood_Group_CleansedNotesNumber_of_ReviewsPicture_UrlPriceProperty_TypeReview_Scores_AccuracyReview_Scores_CheckinReview_Scores_CleanlinessReview_Scores_CommunicationReview_Scores_LocationReview_Scores_RatingReview_Scores_ValueReviews_per_MonthRoom_TypeScrape_IDSecurity_DepositSmart_LocationSpaceSquare_FeetStateStreetSummaryThumbnail_UrlTransitWeekly_PriceXL_Picture_UrlZipcode
0Internet Private balcony The Kitchen ONLY for ...2.0Internet,Wireless Internet,Kitchen,Smoking all...422917411.0Real Bed1.01.01.02017-04-08todaystrictBarcelona10.0SpainESNice and bright room with balcony ABOUT ROOM T...none0.0Host Has Profile Pic,Host Identity Verified,Is...2013-03-2641.3789215699,2.17051935941NaNWe are online marketing specialists enjoying ...NaN28599491.0Barcelona, Cataluña, SpainJustin Y MariaEl Ravalhttps://a0.muscache.com/im/users/2859949/profi...100.0within an hour2012-07-07https://a0.muscache.com/im/users/2859949/profi...1.0https://www.airbnb.com/users/show/2859949email,phone,reviews,manual_offline,jumioBe Discreet, Don't be noise :) Please close th...1002049by (SENSITIVE CONTENTS HIDDEN) or by phone air...NaN2017-02-022017-04-0841.378922NaNhttps://www.airbnb.com/rooms/10020492.170519Barcelona7https://a0.muscache.com/im/pictures/16058142/2...1NaNCentral room with private balcony!Raval neighborhood is colorful,with a real mix...El Ravalel RavalCiutat VellaThe flat has no elevator and it is a 3th floor...165https://public.opendatasoft.com/api/v2/catalog...30.0Apartment9.08.08.08.09.078.08.03.36Private room20170407214050NaNBarcelona, SpainABOUT ROOM This is a comfortable, modern and b...0.0CataloniaEl Raval, Barcelona, Catalonia 08001, SpainNice and bright room with balconyhttps://a0.muscache.com/im/pictures/16058142/2...Metro green line/ liceu station., Purple line/...NaNhttps://a0.muscache.com/im/pictures/16058142/2...08001
1NaN4.0TV,Kitchen,Heating,Family/kid friendly,Washer,...22128271.0Real Bed2.02.02.02017-04-084 weeks agoflexibleBarcelona50.0SpainESThe apartment is verycloseby main attactions i...none0.0Host Has Profile Pic,Is Location Exact,Require...2016-12-0441.3795617766,2.165432465284NaNNaNNaN908332302.0Piedmont, ItalyTeoEl Ravalhttps://a0.muscache.com/im/pictures/7d693cb1-f...100.0within an hour2016-08-19https://a0.muscache.com/im/pictures/7d693cb1-f...2.0https://www.airbnb.com/users/show/90833230email,phone,reviewsNaN16091999NaNNaN2017-03-212017-04-0841.379562NaNhttps://www.airbnb.com/rooms/160919992.165432Barcelona1125https://a0.muscache.com/im/pictures/29203d8b-9...2NaNAmazing apartment in the heart of BarcelonaNaNEl Ravalel RavalCiutat VellaNaN14https://public.opendatasoft.com/api/v2/catalog...70.0Apartment10.09.09.09.09.087.09.03.33Entire home/apt20170407214050NaNBarcelona, SpainNaNNaNCatalunyaEl Raval, Barcelona, Catalunya 08001, SpainThe apartment is verycloseby main attactions i...https://a0.muscache.com/im/pictures/29203d8b-9...Metro and all transportations walking distanceNaNhttps://a0.muscache.com/im/pictures/29203d8b-9...08001
2The loft and its contents are for you to enjoy...4.0TV,Internet,Wireless Internet,Air conditioning...62019131.0Real Bed1.02.01.02017-04-082 days agostrictBarcelonaNaNSpainESModern Penthouse loft room with views over the...none15.0Host Has Profile Pic,Host Identity Verified,Is...2016-02-2741.3760715648,2.170303654192NaNHi,\r\nI'm from New York originally but have s...NaN13779391.0Barcelona, Cataluña, SpainJohnEl Ravalhttps://a0.muscache.com/im/users/1377939/profi...100.0within an hour2011-11-06https://a0.muscache.com/im/users/1377939/profi...1.0https://www.airbnb.com/users/show/1377939email,phone,facebook,reviews,jumio,work_emailPlease don't smoke inside the apartment, but f...10371528I will probably be living in the upstairs room...NaN2017-04-032017-04-0841.376072NaNhttps://www.airbnb.com/rooms/103715282.170304Barcelona1125https://a0.muscache.com/im/pictures/80db5a04-0...2NaNPenthouse loft with terrace & viewsThe Raval is right in the middle of the city, ...El Ravalel RavalCiutat VellaNaN60https://public.opendatasoft.com/api/v2/catalog...149.0Apartment10.010.09.010.09.096.09.04.42Entire home/apt20170407214050250.0Barcelona, SpainThe apartment is actually a two floor duplex w...NaNCatalunyaEl Raval, Barcelona, Catalunya 08001, SpainModern Penthouse loft room with views over the...https://a0.muscache.com/im/pictures/80db5a04-0...The Paral·lel metro station is only a 1 minute...NaNhttps://a0.muscache.com/im/pictures/80db5a04-0...08001
3lavadora, secadora, wi-fi, toallas, sabanas....2.0Wireless Internet,Smoking allowed,Washer,Dryer...2035247771.0Real Bed1.01.03.02017-04-08a week agostrictBarcelonaNaNSpainEStokyo es una habitacion muy tranquila en el co...none0.0Requires License2013-08-1841.3794169615,2.166030229141NaNCiao sono Egisto, avvocato di Napoli che ama B...NaN75556173.0Barcelona, Catalonia, SpainEgistoNaNhttps://a0.muscache.com/defaults/user_pic-225x...100.0within an hour2013-07-17https://a0.muscache.com/defaults/user_pic-50x5...3.0https://www.airbnb.com/users/show/7555617email,phone,reviewsNaN1459427NaNNaN2017-04-022017-04-0841.379417NaNhttps://www.airbnb.com/rooms/14594272.166030Barcelona1125https://a0.muscache.com/im/pictures/21637984/f...2NaNhabitacion en barcelona "Tokyo"NaNNaNel RavalCiutat VellaNaN17https://public.opendatasoft.com/api/v2/catalog...45.0Apartment9.09.08.010.010.083.08.00.38Private room20170407214050NaNBarcelona, SpainLa habitacion "Tokio"es comoda,tranquila y sup...NaNCataloniaBarcelona, Catalonia 08001, Spaintokyo es una habitacion muy tranquila en el co...https://a0.muscache.com/im/pictures/21637984/f...NaNNaNhttps://a0.muscache.com/im/pictures/21637984/f...08001
4NaN5.0TV,Internet,Wireless Internet,Air conditioning...519214351.0Real Bed2.03.013.02017-04-08todayflexibleBarcelona35.0SpainESThanks for checking our apartment out. As exp...none19.0Host Has Profile Pic,Host Identity Verified,Re...2015-01-0741.3810882381,2.166900465851NaNI'm an experienced AirBnB host and traveller w...NaN185367514.0Barcelona, Cataluña, SpainRichardEl Ravalhttps://a0.muscache.com/im/pictures/d0000d22-4...100.0within an hour2012-03-04https://a0.muscache.com/im/pictures/d0000d22-4...14.0https://www.airbnb.com/users/show/1853675email,phone,facebook,reviews,manual_offline,wo...- No smoking inside the apartment but there is...4732958I am available by phone 24 hrs and we also hav...NaN2017-03-232017-04-0841.381088NaNhttps://www.airbnb.com/rooms/47329582.166900Barcelona90https://a0.muscache.com/im/pictures/a25c2822-7...11250.0GORGEOUS DESIGN FLAT IN HEART 3AEl Raval is a neighbourhood in the Ciutat Vell...NaNel RavalCiutat VellaNaN116https://public.opendatasoft.com/api/v2/catalog...69.0Apartment9.09.09.09.09.084.09.04.23Entire home/apt20170407214050NaNBarcelona, SpainWelcome to Barcelona, the city where culture, ...NaNCataloniaBarcelona, Catalonia 08002, SpainThanks for checking our apartment out. As exp...https://a0.muscache.com/im/pictures/a25c2822-7...The apartment is nearest to plaza catalunya me...NaNhttps://a0.muscache.com/im/pictures/a25c2822-7...08002
5NaN3.0Internet,Wireless Internet,Kitchen,Smoking all...725730521.0Real Bed1.02.04.02017-04-083 weeks agostrictBarcelonaNaNSpainESThe Room is close to all facilities and transp...none15.0Host Has Profile Pic,Requires License2016-11-2141.3838411772,2.169994288782NaNNaNNaN1013429294.0Barcelona, Catalonia, SpainDiegoNaNhttps://a0.muscache.com/im/pictures/b18f75b0-a...81.0within an hour2016-10-26https://a0.muscache.com/im/pictures/b18f75b0-a...4.0https://www.airbnb.com/users/show/101342929email,phone,reviewsSu perfil de Airbnb tiene que tener una antigu...15742658NaNNaN2017-03-202017-04-0841.383841NaNhttps://www.airbnb.com/rooms/157426582.169994Barcelona1125https://a0.muscache.com/im/pictures/9acfad95-a...2NaNLovely double room near Ramblas.NaNNaNel RavalCiutat VellaNaN11https://public.opendatasoft.com/api/v2/catalog...59.0Apartment7.08.08.09.010.075.08.02.37Private room20170407214050NaNBarcelona, SpainNaNNaNCatalunyaBarcelona, Catalunya 08001, SpainThe Room is close to all facilities and transp...https://a0.muscache.com/im/pictures/9acfad95-a...NaNNaNhttps://a0.muscache.com/im/pictures/9acfad95-a...08001
6We use the apartment ourselves for our holiday...4.0TV,Internet,Wireless Internet,Air conditioning...1181131.0Real Bed2.04.01.02017-04-07todaystrictBarcelona35.0SpainESCozy maisonette just off the Ramblas. Top floo...none0.0Host Has Profile Pic,Host Identity Verified,Is...2013-02-2641.3776838233,2.172618674321NaNMy identity and interests are spread over at l...NaN37862924.0Amsterdam, Noord-Holland, The NetherlandsFlavioEl Ravalhttps://a0.muscache.com/im/pictures/5df8b3c0-a...100.0within an hour2012-10-07https://a0.muscache.com/im/pictures/5df8b3c0-a...4.0https://www.airbnb.com/users/show/3786292email,phone,reviews,jumio• We have clear agreements with our neighbors ...729078Me and the on-site managers are always reachab...NaN2017-03-232017-04-0841.37768401-2007LM00393https://www.airbnb.com/rooms/7290782.172619Barcelona1125https://a0.muscache.com/im/pictures/10944111/e...1NaNIn the heart of BarcelonaOur apartment is very conveniently located on ...El Ravalel RavalCiutat VellaThe apartment is for a maximum of 4 people. Un...118https://public.opendatasoft.com/api/v2/catalog...59.0Apartment9.09.09.09.09.087.09.02.36Entire home/apt20170407214050250.0Barcelona, SpainThe apartment is a cozy (officially licensed) ...474.0CataloniaEl Raval, Barcelona, Catalonia 08001, SpainCozy maisonette just off the Ramblas. Top floo...https://a0.muscache.com/im/pictures/10944111/e...We are close to three Underground stations: Pa...NaNhttps://a0.muscache.com/im/pictures/10944111/e...08001
7NaN5.0TV,Internet,Wireless Internet,Air conditioning...72922291.0Real Bed3.03.01.02017-04-072 weeks agostrictBarcelonaNaNSpainESVery nice apartment near plaza real in the hea...none0.0Host Has Profile Pic,Requires License,Instant ...2016-09-1241.3760797439,2.17238662941NaNNaNNaN791122711.0ESCristianNaNhttps://a0.muscache.com/im/pictures/dbb2985a-1...100.0within an hour2016-06-21https://a0.muscache.com/im/pictures/dbb2985a-1...1.0https://www.airbnb.com/users/show/79112271phone,reviewsNaN13639495NaNNaN2017-04-042017-04-0841.376080NaNhttps://www.airbnb.com/rooms/136394952.172387Barcelona1125https://a0.muscache.com/im/pictures/6ee42ee9-0...3NaNCharming apartment near Plaza RealNaNNaNel RavalCiutat VellaNaN20https://public.opendatasoft.com/api/v2/catalog...150.0Apartment10.010.09.010.010.092.09.02.87Entire home/apt20170407214050NaNBarcelona, SpainIt is very nice apartament,nice ,new,modern,c...NaNCatalunyaBarcelona, Catalunya 08002, SpainVery nice apartment near plaza real in the hea...https://a0.muscache.com/im/pictures/6ee42ee9-0...NaNNaNhttps://a0.muscache.com/im/pictures/6ee42ee9-0...08002
8The apartment is located in the heart of the c...4.0TV,Internet,Wireless Internet,Air conditioning...043661.0Real Bed2.02.01.02017-04-073 weeks agostrictBarcelona40.0SpainESThe apartment is a new and cozy place includin...none0.0Host Has Profile Pic,Host Identity Verified,Re...2015-09-0641.3798720586,2.163968495971NaNNaNNaN175708081.0Antwerp, Flanders, BelgiumDanyNaNhttps://a0.muscache.com/im/pictures/1c3d827c-d...100.0within an hour2014-07-02https://a0.muscache.com/im/pictures/1c3d827c-d...1.0https://www.airbnb.com/users/show/17570808email,phone,reviews,jumioNo smoking inside the apartment No parties Re...806924724 hours attention in Case u need information!!NaN2017-03-282017-04-0841.379872NaNhttps://www.airbnb.com/rooms/80692472.163968Barcelona1125https://a0.muscache.com/im/pictures/0460abe6-3...2NaNNew And cozy apartment.The neighborhood Sant Antoni is a neighborhood...NaNel RavalCiutat VellaEquipment TV High-speed Internet Air condition...55https://public.opendatasoft.com/api/v2/catalog...85.0Apartment10.09.09.010.010.092.09.02.84Entire home/apt20170407214050200.0Barcelona, SpainThe apartment is a new and cozy place includin...NaNCTBarcelona, CT 08001, SpainThe apartment is located in the heart of the c...https://a0.muscache.com/im/pictures/0460abe6-3...The metro Is 2 minutes from the apartment The...NaNhttps://a0.muscache.com/im/pictures/0460abe6-3...08001
9You can use the kitchen.2.0TV,Internet,Wireless Internet,Air conditioning...2217352821.0Real Bed1.01.03.02017-04-075 days agoflexibleBarcelona15.0SpainESNice,clean and well decorated flat, just 2 roo...none0.0Host Has Profile Pic,Requires LicenseNaN41.3787907645,2.169079516181NaNNaNNaN297505544.0Barcelona, Catalonia, SpainLua&OlallaEl Ravalhttps://a0.muscache.com/im/pictures/58ed4b3a-c...95.0within an hour2015-03-21https://a0.muscache.com/im/pictures/58ed4b3a-c...4.0https://www.airbnb.com/users/show/29750554email,phone,reviewsIs not allow smoke at home.17764900I m always available to give you some advices,...NaNNaN2017-04-0841.378791NaNhttps://www.airbnb.com/rooms/177649002.169080Barcelona1125https://a0.muscache.com/im/pictures/90238e33-1...1NaNCity center roomMulticultural neighborhood. Lots of clubs and ...NaNel RavalCiutat VellaNaN0https://public.opendatasoft.com/api/v2/catalog...49.0ApartmentNaNNaNNaNNaNNaNNaNNaNNaNPrivate room20170407214050100.0Barcelona, SpainExceptional location. City center. Next to clu...NaNCTBarcelona, CT 08001, SpainNice,clean and well decorated flat, just 2 roo...https://a0.muscache.com/im/pictures/90238e33-1...Yes, there is green line next to house ( liceo...NaNhttps://a0.muscache.com/im/pictures/90238e33-1...08001

Last rows

AccessAccommodatesAmenitiesAvailability_30Availability_365Availability_60Availability_90BathroomsBed_TypeBedroomsBedsCalculated_host_listings_countCalendar_last_ScrapedCalendar_UpdatedCancellation_PolicyCityCleaning_FeeCountryCountry_CodeDescriptionExperiences_OfferedExtra_PeopleFeaturesFirst_ReviewGeolocationGuests_IncludedHas_AvailabilityHost_AboutHost_Acceptance_RateHost_IDHost_Listings_CountHost_LocationHost_NameHost_NeighbourhoodHost_Picture_UrlHost_Response_RateHost_Response_TimeHost_SinceHost_Thumbnail_UrlHost_Total_Listings_CountHost_URLHost_VerificationsHouse_RulesIDInteractionJurisdiction_NamesLast_ReviewLast_ScrapedLatitudeLicenseListing_UrlLongitudeMarketMaximum_NightsMedium_UrlMinimum_NightsMonthly_PriceNameNeighborhood_OverviewNeighbourhoodNeighbourhood_CleansedNeighbourhood_Group_CleansedNotesNumber_of_ReviewsPicture_UrlPriceProperty_TypeReview_Scores_AccuracyReview_Scores_CheckinReview_Scores_CleanlinessReview_Scores_CommunicationReview_Scores_LocationReview_Scores_RatingReview_Scores_ValueReviews_per_MonthRoom_TypeScrape_IDSecurity_DepositSmart_LocationSpaceSquare_FeetStateStreetSummaryThumbnail_UrlTransitWeekly_PriceXL_Picture_UrlZipcode
54990A private apartment, wifi usage and all food f...10.0TV,Cable TV,Internet,Wireless Internet,Air con...928318312.0Real Bed3.07.02.02017-05-03todaystrictBrooklyn50.0United StatesUSThis apt. is in a typical nyc urban area. It ...none10.0Host Has Profile Pic,Host Identity Verified,Is...2013-04-0340.6910022385,-73.92534878716NaNAfter doing Airbnb for about one year, I have ...NaN29482232.0BrooklynVenessaBedford-Stuyvesanthttps://a0.muscache.com/im/users/2948223/profi...100.0within a few hours2012-07-15https://a0.muscache.com/im/users/2948223/profi...2.0https://www.airbnb.com/users/show/2948223email,phone,reviews,kbaPlease do not wear shoes in the apartment. We...875362Each guest is different. Most of our guest do...NaN2017-04-302017-05-0340.691002NaNhttps://www.airbnb.com/rooms/875362-73.925349New York1125NaN14500.0Elegant 3 Bedroom in Brooklyn/2 bathroomThe feeling of safety as you walk outside and ...Bedford-StuyvesantBedford-StuyvesantBrooklynUnfortunately, due to bad party experiences, w...182https://public.opendatasoft.com/api/v2/catalog...215.0Apartment9.010.09.010.09.093.09.03.66Entire home/apt20170502132028NaNBrooklyn, NYThis apt. is in a typical nyc urban area. It ...NaNNYBedford-Stuyvesant, Brooklyn, NY 11221, United...This apt. is in a typical nyc urban area. It ...NaNlocated meters away from the J trainNaNNaN11221
54991Amazing roof access! There is a beautiful roof...2.0TV,Internet,Wireless Internet,Air conditioning...53015301.0Real Bed0.01.03.02017-05-034 days agostrictBrooklyn45.0United StatesUSBrand new Studio apartment! Awesome Roof Top ...none0.0Host Has Profile Pic,Host Identity Verified,Is...2015-03-2940.6951295213,-73.94890970751NaNHello! My name is Alejandro. I am 39 years old...NaN83444013.0New York, New York, United StatesAlejandroBedford-Stuyvesanthttps://a0.muscache.com/im/users/8344401/profi...83.0within a day2013-08-23https://a0.muscache.com/im/users/8344401/profi...3.0https://www.airbnb.com/users/show/8344401email,phone,reviews,manual_offline,jumioNO PETS ALLOWED NO MORE THAN 2 PEOPLE! NO SMO...5717035As much as needed!NaN2017-04-112017-05-0340.695130NaNhttps://www.airbnb.com/rooms/5717035-73.948910New York1125https://a0.muscache.com/im/pictures/71140339/9...11650.0Brand new Studio B-Private StayNaNBedford-StuyvesantBedford-StuyvesantBrooklynNaN80https://public.opendatasoft.com/api/v2/catalog...79.0Apartment9.09.08.09.08.080.08.03.13Entire home/apt20170502132028NaNBrooklyn, NYThis just a great Studio apartment to spend a ...NaNNYBedford-Stuyvesant, Brooklyn, NY 11206, United...Brand new Studio apartment! Awesome Roof Top ...https://a0.muscache.com/im/pictures/71140339/9...G train 1 block from the apartment!NaNhttps://a0.muscache.com/im/pictures/71140339/9...11206
54992You can use the bedroom, living room, dining r...1.0TV,Wireless Internet,Wheelchair accessible,Kit...00001.0Real Bed1.01.01.02017-05-038 months agomoderateBrooklyn10.0United StatesUSThis is a great room that I'm renting out whil...none0.0Host Has Profile Pic,Host Identity Verified,Is...NaN40.6987386892,-73.93870804981NaNNaNNaN208318471.0New York, New York, United StatesCodyBedford-Stuyvesanthttps://a0.muscache.com/im/users/20831847/prof...NaNNaN2014-09-02https://a0.muscache.com/im/users/20831847/prof...1.0https://www.airbnb.com/users/show/20831847email,phone,facebook,reviews,kba,work_emailRelaxed, feel at home, do your part, clean wha...11227612My one roommate Nate will he here along with o...NaNNaN2017-05-0340.698739NaNhttps://www.airbnb.com/rooms/11227612-73.938708New York1125https://a0.muscache.com/im/pictures/311c5ba1-e...14NaNHi! BKLYN Warehouse Artsy bedroom!right near the budding areas of Williamsburg, ...Bedford-StuyvesantBedford-StuyvesantBrooklynNate is a great guy, that is super easy going,...0https://public.opendatasoft.com/api/v2/catalog...47.0ApartmentNaNNaNNaNNaNNaNNaNNaNNaNPrivate room20170502132028500.0Brooklyn, NYThis space is a great exposed brick get away i...NaNNYBedford-Stuyvesant, Brooklyn, NY 11206, United...This is a great room that I'm renting out whil...https://a0.muscache.com/im/pictures/311c5ba1-e...closest subways are JMZ, Flushing stop and use...NaNhttps://a0.muscache.com/im/pictures/311c5ba1-e...11206
54993To the living room with a tv, fully stock kitc...2.0TV,Internet,Wireless Internet,Air conditioning...212121211.0Real Bed1.01.01.02017-05-032 days agoflexibleBrooklynNaNUnited StatesUSClose to supermarket, deli, laundry and bus st...none30.0Host Has Profile Pic,Host Identity VerifiedNaN40.6928614093,-73.9374662831NaNHi my name is Duanne Gonzales. I am a 29 year ...NaN669617681.0New York, New York, United StatesDuanneNaNhttps://a0.muscache.com/im/pictures/457a80a8-c...100.0within an hour2016-04-12https://a0.muscache.com/im/pictures/457a80a8-c...1.0https://www.airbnb.com/users/show/66961768email,phone,facebook,jumio,government_idNo smoking, responsible and clean.18374250Once a week or as necessary.NaNNaN2017-05-0340.692861NaNhttps://www.airbnb.com/rooms/18374250-73.937466New York34https://a0.muscache.com/im/pictures/2f7e29f2-f...1NaNCozy, private bdrmClose to supermarket, deli, laundry and bus st...NaNBedford-StuyvesantBrooklynFrom the 17th to the 30 there will be more gue...0https://public.opendatasoft.com/api/v2/catalog...30.0ApartmentNaNNaNNaNNaNNaNNaNNaNNaNPrivate room20170502132028300.0Brooklyn, NYGood street view, cozy and the largest room in...NaNNYBrooklyn, NY 11221, United StatesClose to supermarket, deli, laundry and bus st...https://a0.muscache.com/im/pictures/2f7e29f2-f...2 bus stops with in half a block and 3 block t...NaNhttps://a0.muscache.com/im/pictures/2f7e29f2-f...11221
54994Full kitchen, wifi2.0Internet,Wireless Internet,Kitchen,Smoke detec...31296131.0Real Bed0.01.01.02017-05-033 months agomoderateBrooklyn10.0United StatesUSMy studio is an awesome, cozy and quiet little...none0.0Host Has Profile Pic,Host Identity Verified,Is...2016-08-1340.6830301988,-73.93062074471NaNI am a filmmakers and video editor. Originall...NaN70236511.0New York, New York, United StatesAmandaBedford-Stuyvesanthttps://a0.muscache.com/im/pictures/938a4e6e-1...100.0within a few hours2013-06-20https://a0.muscache.com/im/pictures/938a4e6e-1...1.0https://www.airbnb.com/users/show/7023651email,phone,reviews,kbaNaN14250349Just to drop off keys but happy to be in touch...NaN2017-03-072017-05-0440.683030NaNhttps://www.airbnb.com/rooms/14250349-73.930621NaN13https://a0.muscache.com/im/pictures/3672d8a7-d...4NaNCozy & Charming Bed-Stuy StudioBed-Stuy has many beautiful tree and brownston...Bedford-StuyvesantBedford-StuyvesantBrooklynNaN4https://public.opendatasoft.com/api/v2/catalog...80.0Apartment10.010.010.010.010.0100.010.00.45Entire home/apt20170502132028NaNBrooklyn, NYThe space is cozy - great light and high ceili...NaNNYBedford-Stuyvesant, Brooklyn, NY 11233, United...My studio is an awesome, cozy and quiet little...https://a0.muscache.com/im/pictures/3672d8a7-d...Utica A, CNaNhttps://a0.muscache.com/im/pictures/3672d8a7-d...11233
54995NaN6.0TV,Internet,Wireless Internet,Air conditioning...333833631.0Real Bed2.05.01.02017-05-033 months agoflexibleNew York100.0United StatesUSYour home away from home. Conveniently located...none25.0Host Has Profile Pic,Is Location Exact2016-03-0640.6867372127,-73.93375201274NaNNaNNaN516464591.0New York, New York, United StatesAttikaBedford-Stuyvesanthttps://a0.muscache.com/im/pictures/571c7272-4...100.0within an hour2015-12-18https://a0.muscache.com/im/pictures/571c7272-4...1.0https://www.airbnb.com/users/show/51646459email,phone,facebook,reviews1) no smoking - on the premises (in the house ...11495721NaNNaN2017-01-012017-05-0340.686737NaNhttps://www.airbnb.com/rooms/11495721-73.933752New York1125NaN30NaNFull apartment availableNaNBedford-StuyvesantBedford-StuyvesantBrooklynNaN26https://public.opendatasoft.com/api/v2/catalog...135.0Apartment9.010.09.09.09.092.09.01.84Entire home/apt20170502132028250.0New York, NYNaNNaNNYBedford-Stuyvesant, New York, NY 11221, United...Your home away from home. Conveniently located...NaNNaNNaNNaN11221
54996NaN8.0TV,Internet,Wireless Internet,Air conditioning...116423452.0Real Bed4.04.01.02017-05-034 days agostrictBrooklyn110.0United StatesUSThis beautifully renovated, sun drenched, dup...none20.0Host Has Profile Pic,Host Identity Verified,Is...2017-04-1940.694238292,-73.93849787554NaNI originally hail from paris but have been liv...NaN2717991.0New York, New York, United StatesEmmanuelBedford-Stuyvesanthttps://a0.muscache.com/im/users/271799/profil...96.0within an hour2010-10-26https://a0.muscache.com/im/users/271799/profil...1.0https://www.airbnb.com/users/show/271799email,phone,facebook,reviews,kbaPlease help conserve energy by remembering to ...18054268Tony - (who lives downstairs) will be availabl...NaN2017-04-242017-05-0440.694238NaNhttps://www.airbnb.com/rooms/18054268-73.938498New York180https://a0.muscache.com/im/pictures/1d2ab6a4-6...3NaNGorgeous 4 bedroom Brownstone Duplex @Hart StNaNBedford-StuyvesantBedford-StuyvesantBrooklynNaN2https://public.opendatasoft.com/api/v2/catalog...250.0Apartment10.010.010.010.09.0100.010.02.00Entire home/apt20170502132028NaNBrooklyn, NYNaNNaNNYBedford-Stuyvesant, Brooklyn, NY 11206, United...This beautifully renovated, sun drenched, dup...https://a0.muscache.com/im/pictures/1d2ab6a4-6...NaNNaNhttps://a0.muscache.com/im/pictures/1d2ab6a4-6...11206
54997You will have access to Wifi, cable TV, and ba...2.0TV,Cable TV,Internet,Wireless Internet,Kitchen...2936459891.0Real Bed1.01.01.02017-05-0322 months agoflexibleBrooklynNaNUnited StatesUSWe have 1 bedroom available in our 3 bedroom 1...none0.0Host Has Profile Pic,Host Identity Verified,Is...NaN40.684298254,-73.9220756471NaNNaNNaN187643901.0New York, New York, United StatesDavidBedford-Stuyvesanthttps://a0.muscache.com/im/users/18764390/prof...NaNNaN2014-07-23https://a0.muscache.com/im/users/18764390/prof...1.0https://www.airbnb.com/users/show/18764390email,phone,facebook,reviews,jumioI want you to treat our place as it is your ow...5696687We are pretty busy guys so we will be in and o...NaNNaN2017-05-0440.684298NaNhttps://www.airbnb.com/rooms/5696687-73.922076New York30NaN151150.0Relax and UnwindHuge park one block away. The J and C train ar...Bedford-StuyvesantBedford-StuyvesantBrooklynWe have a dog. His name is Charlie. He is kind...0https://public.opendatasoft.com/api/v2/catalog...70.0ApartmentNaNNaNNaNNaNNaNNaNNaNNaNPrivate room20170502132028NaNBrooklyn, NYWood Floors, chill living room area, cleanNaNNYBedford-Stuyvesant, Brooklyn, NY 11233, United...We have 1 bedroom available in our 3 bedroom 1...NaNVery convenient. The B26 bus stops directly in...300.0NaN11233
54998There is a small backyard area that will be op...4.0TV,Cable TV,Internet,Wireless Internet,Air con...727122401.0Real Bed1.01.01.02017-05-03todayflexibleBrooklyn85.0United StatesUSA beautiful full size one bedroom apartment wi...none0.0Host Has Profile Pic,Host Identity Verified,Is...2015-03-2140.6848072185,-73.93187459941NaNI was born and raised in Brooklyn. I've alwa...NaN281831091.0New York, New York, United StatesDaraBedford-Stuyvesanthttps://a0.muscache.com/im/users/28183109/prof...100.0within a few hours2015-02-22https://a0.muscache.com/im/users/28183109/prof...1.0https://www.airbnb.com/users/show/28183109email,phone,reviews,jumioNO SMOKING!!! Respect the apartment as if it w...5466630Limited interaction. Only if needed.NaN2017-04-142017-05-0440.684807NaNhttps://www.airbnb.com/rooms/5466630-73.931875New York21https://a0.muscache.com/im/pictures/70908136/1...23100.0588A Brownstone HospitalityResidential area with cafes, bars, restaurants...Bedford-StuyvesantBedford-StuyvesantBrooklynNaN44https://public.opendatasoft.com/api/v2/catalog...119.0Apartment10.010.09.010.09.093.09.01.70Entire home/apt20170502132028100.0Brooklyn, NYIt's a private beautiful apartment. It is loca...NaNNYBedford-Stuyvesant, Brooklyn, NY 11233, United...A beautiful full size one bedroom apartment wi...https://a0.muscache.com/im/pictures/70908136/1...A or C train is 4 blocks away. B26 bus stop is...855.0https://a0.muscache.com/im/pictures/70908136/1...11233
54999You will have your own room with a private bat...2.0TV,Wireless Internet,Air conditioning,Kitchen,...3018060901.0Real Bed1.01.05.02017-05-032 days agostrictBrooklyn65.0United StatesUSMy place is good for couples, solo adventurers...none20.0Host Has Profile Pic,Host Identity Verified,Is...2017-03-2140.6834876962,-73.95622927161NaNI'm a music producer, DJ, run a record label a...NaN26378746.0New York, New York, United StatesElonBedford-Stuyvesanthttps://a0.muscache.com/im/pictures/77807e16-8...93.0within a few hours2012-06-14https://a0.muscache.com/im/pictures/77807e16-8...6.0https://www.airbnb.com/users/show/2637874email,phone,facebook,reviews,jumio- Feel free to smoke in the balcony, please be...16807114It's a 4BR flat and three of us living in the ...NaN2017-03-282017-05-0440.683488NaNhttps://www.airbnb.com/rooms/16807114-73.956229New York90https://a0.muscache.com/im/pictures/8d571a23-3...15NaNBeautiful spacious room with private bathroom!The apartment is located on a beautiful, safe,...Bedford-StuyvesantBedford-StuyvesantBrooklynNaN2https://public.opendatasoft.com/api/v2/catalog...55.0Apartment10.010.010.010.010.0100.010.01.33Private room20170502132028NaNBrooklyn, NYSpacious room with private bathroom In the upp...NaNNYBedford-Stuyvesant, Brooklyn, NY 11216, United...My place is good for couples, solo adventurers...https://a0.muscache.com/im/pictures/8d571a23-3...Transport: 4 blocks away from the C train (Fra...NaNhttps://a0.muscache.com/im/pictures/8d571a23-3...11216